Method and apparatus providing on-line service

The invention discloses a method for providing on-line services and a device thereof, which belong to the field of network communication. The method comprises that all the collected users are carried out the character classification according to the collected user network behavior characteristic information and the built character classification model; and the corresponding services are arranged for each character classification being obtained by the character classification. When a user applies for the on-line service, the character classification of the user is found in the results of the character classification and the corresponding service of the character classification is provided to the user. The device comprises a character classification module, a service set module, a module searching and on-line service module. The invention can improve the success ratio of providing services to the users, and thus can well provide the services to the users.

Method for processing data entered into e.g. user terminal, for classification of user terminal, involves selectively triggering action for respective user terminals according to categories determined for user terminals

Procédé de traitement dans un système (10) comprenant des terminaux utilisateurs (100) reliés à une plate-forme de services (102) par un réseau de télécommunications (101), selon lequel : - un algorithme de classification selon N catégories, exécuté dans les terminaux utilisateurs, détermine pour chaque terminal utilisateur une catégorie respective parmi N catégories, en fonction de données saisies sur le terminal utilisateur et transmises sur le réseau à destination de la plate-forme de services ; - une action est déclenchée sélectivement à destination d'eu moins certains desdits terminaux en fonction de la catégorie respectivement déterminée pour lesdits terminaux ; l'algorithme de classification selon les N catégories ayant été obtenu selon les étapes suivantes : - i/ un échantillon de terminaux utilisateurs est constitué pour chaque catégorie ; - ii/ les données saisies sur les terminaux utilisateurs à destination de la plateforme de services (102) sont transmises en outre à destination ...

소비 가능한 콘텐트의 사용법을 추천에 병합하는 방법

... 본 명세서에서는 사용자가 이-리더(e-reader) 내의 전자북과 같은 애플리케이션 내의 소비 가능한 콘텐트와 상호 작용하는 방식에 기초하여 사용자에 대한 사용자 프로파일을 생성하기 위한 시스템 및 방법이 개시된다. 콘텐트와 관련된 사용자의 동작은 모니터링되고 또한 콘텐트의 특성과 관련되어진다. 이 연관짓기를 사용하여 사용자들의 선호 및 비선호에 대한 사용자 프로파일을 구축하고, 이 사용자 프로파일은 이후에 추천 시스템에 제공되어 더욱 관련성이 높고 또한 개인화된 추천을 제공하게 된다.

PROVIDING SUGGESTED SITES ASSOCIATED WITH TARGET SITES

정밀 사용자 선호도 데이터의 수집 및 관리

... 방법들 및 시스템들은 디바이스 특정 사용자 선호도 데이터를 로컬 디바이스에 저장하고 원격 디바이스로부터 실시간 요청을 수신하는 것을 포함할 수 있다. 하나 이상의 사용자 계수들이 요청에 응답하여 디바이스 특정 사용자 선호도 데이터를 필터링하기 위해 사용될 수 있다. 일 예에서, 사용자 선호도 데이터는 키워드 데이터를 포함하고 필터링된 키워드 데이터는 정보를 발견하여 원격 디바이스를 통해 사용자에게 제공하기 위해 사용된다.

RELATIONSHIP DISCOVERY ENGINE

A system, method, and computer program product discover relationships among items and recommend items based on the discovered relationships. The recommendations provided by the present invention are based on user profiles that take into account actual preferences of users, without requiring users to complete questionnaires. An improved binomial log likelihood ratio analysis technique is applied, to reduce adverse effects of overstatement of coincidence and predominance of best sellers. The invention may be used, for example, to generate track lists for personalized radio station.

PERSONAL CONTENT STREAMS BASED ON USER-TOPIC PROFILES

A personal content stream comprising a plurality of videos is generated for a user. The user selects topics used in the generation of a personal content stream. The plurality of user selected topics is expanded to include topics related to one or more of the user selected topics. Each of the topics in the expanded plurality of topics includes a topic weight. Videos are selected that are related to one or more of the expanded plurality of topics to generate a plurality of stream videos. Additional videos are selected and added to the plurality of stream videos as the user watches videos. The topic weights are adjusted during video playback based on feedback from the user.

METHOD AND DEVICE FOR PUBLISHING CROSS-NETWORK USER BEHAVIORAL DATA

The present invention relates to summarizing cross-network user behavioral data. The summarizing cross-network user behavioral data may particularly include publishing the data to one or more data structures that become accessible to a server hosting an authorized domain when a user accesses the authorized domain.

KEYWORD BASED CONTENT SUGGESTIONS

A system and related methods suggest content based on user input and another metric. In one implementation, web-sites are suggested to advertisers in response to keyword input and by factoring in how often such web-sites were selected or "clicked on" as a result of corresponding search queries. Search logs are processed to determine how often certain query terms led to web-sites being selected. Web-sites are ranked accordingly. Keywords from advertisers are matched to the web-site rankings to present the top web-sites.

Information searching method of profile information, program, recording medium, and apparatus

In a candidate data searching step, a plurality of similar candidate data is searched from a profile data group having a peculiar attribute value every different attribute on the basis of an input in which one or a plurality of attribute values have been designated. In a significance calculating step, significance regarding the attribute is calculated on the basis of the searched candidate data and non-candidate data. In a score calculating step, a score of each candidate data is calculated on the basis of the calculated significance. In a search result outputting step, each candidate data is ranked on the basis of the calculated score, and the ranked upper candidate data is outputted as a search result.

Topic profile query creation

A topic profile may be generated based on several words/phrases. The topic profile may include social media content items such as a social media post from a variety of social media sources. The topic profile may be presented to a user via a user interface that displays the one or more included/excluded words/phrases that may form the basis of a query for the topic profile. The user interface may display one or more representative social media content items and/or a word cloud of words/phrases related to the query. A user may select one or more words/phrases in the word cloud and/or one or more social media content items to be included in and//or excluded from the topic profile. The implementations disclosed herein may allow rapid filtering of a potentially large group of content items from potentially disparate social media sources.

Setting user preferences for an electronic program guide

An information processing apparatus is disclosed which includes: first managing means for managing first data about preferences of a user; second managing means for managing second data about information; retrieving means for retrieving the second data about the information used by the user; and updating means for updating the first data by use of the second data retrieved by the retrieving means. If the second data are found to exist within the first data, then the updating means updates the first data using the second data; if the second data are not found to exist within the first data, then the updating means adds the second data to the first data.

ADAPTIVE DOCUMENT CLASSIFICATION PROCEDURE ON THE BASIS OF THE USER BEHAVIOR

ACQUIRING STRUCTURED USER DATA USING COMPOSER INTERFACE HAVING INPUT FIELDS CORRESPONDING TO ACQUIRED STRUCTURED DATA

A social networking system obtains specific structured data about a user via a composer interface having textual content with incomplete portions and input fields corresponding to the incomplete potions. The input fields map to data fields in the user's profile and are selected based on the social networking system's need for the information associated with the data fields.

Method and apparatus for providing documents reflecting user pattern

컨텐츠 제공 방법 및 그 시스템

... 본 발명의 일 실시 예에 따른 컨텐츠 제공 방법 및 그 시스템은, 사용자의 사용 이력을 나타내는 행위 데이터들과 연관된 컨텐츠들을 유형 별로 클러스터링하여, 적어도 하나의 대표 유형 클러스터를 식별하고, 상기 식별된 적어도 하나의 대표 유형 클러스터를 적어도 하나의 시간 구간과 매핑하고, 상기 매핑된 적어도 하나의 대표 유형 클러스터 및 적어도 하나의 시간 구간을 저장한다.

METHOD OF RECOMMENDING CONTENT, METHOD OF CREATING RECOMMENDATION INFORMATION, COMPUTER-READABLE MEDIUM STORING CONTENT RECOMMENDATION PROGRAM, CONTENT RECOMMENDATION SERVER, AND CONTENT-PROVIDING SYSTEM

DYNAMIC, LOCAL TARGETED ADVERTISING SYSTEMS AND METHODS

Systems and methods are described for targeting advertisements to a user of an electronic device. In one embodiment, the user's device receives multiple advertisements and at least one content item. Using a control associated with the content item and controls associated with the advertisements, the user's system dynamically determines the optimum advertisements to render with the content item. Information about the advertisements that were selected can be sent to a remote party to facilitate payment by the provider of the advertisements to the provider of the content.

PROFILE EXCHANGE METHOD AND SYSTEM

In accordance with a first aspect of the invention, there is disclosed a profile exchange method comprising providing first profile data comprising a first plurality of data elements; receiving exchange signals from a device, the exchange signals carrying exchange data, the exchange data comprising an exchange property; identifying the exchange property as one of an approved property and an unapproved property; and at least one of transmitting first profile signals to and receiving second profile signals from the device in response to the exchange property being an approved property, the first profile signals containing the first profile data and the second profile signals containing a second profile data, the second profile data comprising a second plurality of data elements. More specifically, the exchange property is one of an identifier of the device, a characteristic of the second profile data and one of the second plurality of data elements.

METHOD AND APPARATUS FOR SELECTING AT LEAST ONE MEDIA ITEM

Items having a plurality of attributes associated therewith, each of said associated attributes having a rating, the rating indicating the importance of the attribute to the user can be selected (201) and displayed (205) with its associated attributes and corresponding ratings. The ratings can be adjusted (207) and at least one item similar to one of the selected at least one first item is selected (209) based on the rating of at least one of the displayed attributes.

USER COLLABORATION THROUGH DISCUSSION FORUMS

Systems for providing content to multiple users are described, where the systems (3702) identify individual content elements (3926) within the content (3904), and provide a discussion forum (3740) linked to each of the content elements (3926). As one of the users views the content and associated content elements, the user has the option of selecting a particular content element, so as to interact with its associated discussion forum (3740). Thus, multiple users may become viewers or members of a particular discussion forum (3740). The content element associated with a given discussion forum may be included in various pieces of content within the system (3702), such as in multiple articles or email messages (3940). However, users viewing the content elements in any particular setting are all directed to the common discussion forum (3740). In this way, users interested in a particular topic are brought together in a convenient way, without much action required by the users.

GENERATING PERSONALIZED USER PROFILES FOR UTILIZING THE GENERATED USER PROFILES TO PERFORM ADAPTIVE INTERNET SEARCHES

L'invention concerne un système et un procédé de production automatique de profils utilisateurs personnalisés et d'utilisation de ces profils pour l'exécution de recherches adaptatives de données informatiques ou dans l'Internet. Selon l'invention, des motifs linguistiques particuliers, ainsi que la fréquence de récurrence de ceux-ci, sont extraits à partir de textes personnels fournis par les utilisateurs du système de l'invention, et conservés dans un fichier de données de profils utilisateurs, de façon que ce fichier soit représentatif des motifs linguistiques globaux de l'utilisateur et des fréquences de récurrence de ces motifs. Tous les documents d'un système informatique à distance (30), tel que l'Internet, sont ainsi analysés et leurs motifs linguistiques et les fréquences de ces motifs sont également extraits et conservés dans des profils de documents correspondants. Lorsqu'une recherche de données en particulier est lancée par l'utilisateur, des motifs linguistiques sont extraits ...

METHOD AND SYSTEM FOR FILTERING AND SEARCHING DATA USING WORD FREQUENCIES

A method of indexing documents and characterizing a computer user by detecting the frequency of usage of words in a language, comparing the relevance of documents to a search query by means of comparing the frequency of usage of words in the document to words in the search query.

CUSTOMER EXPERIENCE GENERATOR WITH SHAREABLE PROFILE AND AUTOPAY

A computer-implemented system and method are provided for modifying and utilizing a sharable customer profile of a customer stored in a processing platform memory. The method comprises, during a scheduling phase, repeatedly performing a series of operations until an accepted itinerary is indicated. The series of operations include: receiving a set of initial or modified itinerary events, creating or modifying an itinerary utilizing the set of itinerary events, the customer profile, and vendor information that includes vendor employee scheduling information, and sending the itinerary to the customer for acceptance or modification of the itinerary or itinerary events. Once the itinerary is complete with no more modifications, the itinerary is finalized. Reservations are made at respective event vendors of the itinerary events, and confirmations for the event reservations are sent to the customer. 2. The method of claim 1 , further comprising:during the execution phase,receiving customer information while the customer is attending an event of the itinerary;modifying the customer profile based on the received customer information; andutilizing the modified customer profile in creating a future itinerary.3. (canceled)4. The method of claim 2 , further comprising receiving tip-related information during the event that modifies a payment amount to the vendor for the event.5. (canceled)6. The method of claim 2 , further comprising:determining a customer approach to the itinerary event; andcommunicating the customer approach to the vendor that includes an arrival time.7. The method of claim 6 , further comprising:scheduling activities with the vendor based on the customer profile or event reservation based on the arrival time.8. The method of claim 2 , further comprising performing an authentication of the customer.9. The method of claim 2 , further comprising:receiving a plurality of ratings for a respective plurality of sub-events of the event; andstoring the plurality of ...

Ranking results using multiple nested ranking

A unique system and method that facilitates improving the ranking of items is provided. The system and method involve re-ranking decreasing subsets of high ranked items in separate stages. In particular, a basic ranking component can rank a set of items. A subset of the top or high ranking items can be taken and used as a new training set to train a component for improving the ranking among these high ranked documents. This process can be repeated on an arbitrary number of successive high ranked subsets. Thus, high ranked items can be reordered in separate stages by focusing on the higher ranked items to facilitate placing the most relevant items at the top of a search results list.

SYSTEM AND METHOD FOR APPLYING CONTENT SITE VISITOR PROFILES

Embodiments of the systems described herein can implement one or more visitor stitching processes. Visitor stitching can include, among other things, one or more processes by which multiple visitors that may appear distinctly independent may be merged into a new single united visitor profile due to the leveraging of one or more unique persistent identifiers. 120-. (canceled)21. A method of executing a tag embedded within a content page , the method comprising:transmitting, with a client system, a first request for a content page via a computer network;receiving, with the client system, a first version of the content page via the computer network in response to the first request;loading, with a hardware processor of the client system, the first version of the content page to cause first page elements of the first version of the content page to be rendered for output on a display of the client system;displaying, with the display, the first page elements;receiving, with a user interface of the client system, a plurality of inputs from a user visiting the content page with the client system;in response to at least one of the plurality of inputs, executing, with the hardware processor, a tag embedded within the first version of the content page to generate tag output data indicative of one or more user interactions with the first version of the content page;transmitting, with the client system, the tag output data and a visitor identifier to a visitor processing system over the computer network, the visitor identifier being associated with the client system;subsequent to said transmitting the content site interaction data to the visitor processing system, transmitting, with the client system, a second request for the content page via the computer network;receiving, with the client system, a second version of the content page via the computer network in response to the second request, the second version of the content page being different from the first version of the ...

Method for content recommendation

The invention provides a method for content recommendation, comprising: receiving (S100) from a server a content recommendation determined from a data base (102) of content items based on a user profile (104), wherein said content recommendation comprises at least one content item; receiving (S106) from the server a confidence measure determined for said content recommendation, said confidence measure being descriptive of an estimated quality of the determined content recommendation, wherein the estimated quality is determined on the number of user interactions; displaying (S108) said content recommendation and said confidence measure or a derivative thereof to a user; and inquiring (S110) the user for user feedback for said content recommendation.

METHOD FOR CALCULATING A SCORE OF A DOCUMENT FROM A DATABASE, METHODS OF SORTING AND SEARCHING ASSOCIES, SYSTEM FOR IMPLEMENTING METHODS AND COMPUTER PROGRAM PRODUCT THEREFOR.

PROCEEDED WITH TREATMENT, FINAL USER AND COMPUTER PROGRAM ASSOCIATE.

Method for calculation of social relevance index of digital documents to sort list of documents to search documents in documentary base in enterprise, involves calculating index from set of actions realized on document

Le procédé de calcul d'un indice d'intérêt d'un document numérique accessible à un premier ensemble d'utilisateurs, le document comportant une valeur attribuée, appelé indice de pertinence, comporte : • une étape de détermination d'un premier utilisateur du premier ensemble à partir d'une interface, chaque utilisateur comprenant un profil utilisateur, chaque profil utilisateur comprenant un ensemble de données comprenant au moins une valeur de proximité avec le premier utilisateur ; • une étape de détermination, à partir d'un calculateur, d'un second ensemble d'utilisateurs dont la valeur de proximité est supérieure à un seuil prédéterminé ; • une étape de calcul, à partir du calculateur, d'un d'indice de pertinence sociale à partir de l'ensemble des actions réalisées de chaque utilisateur du second ensemble sur le premier document.

CONTENT-PROVIDING METHOD AND SYSTEM

A content-providing method and system, including identifying a representative type cluster by clustering content related to behavioral data which represents a use history of a user, according to type of the content, mapping the representative type cluster to a time interval, and storing the representative type cluster and the time interval.

APPARATUS AND METHOD TO RECOMMEND WEBSITE INFORMATION

The present invention relates to a website information recommending apparatus and a method thereof. The method builds a personal profile by analyzing web records generated in a user terminal to provide customized service and recommends customized web information based on the built profile. For the above, the present invention extracts web records from a user terminal, extracts nouns from the records, calculates the weighted value of the nouns, sums overlapping noun values, adjusts the nouns into a real number value, generates user profiles by making the nouns into a list, compares and analyzes the generated profiles, and extracts web information. The present invention like the above can: build user profiles by data generated in machines by applying proposed methods; recommend customized web information based on the built profiles; and provide customized service for users not only based on web information but also based on profiles. COPYRIGHT KIPO 2017 (AA) Start (BB) End (S100) Step of ...

ADAPTIVE ITEM RECOMMENDING METHOD FUSED WITH LDA AND ACTIVE LEARNING IN DISTRIBUTED ENVIRONMENT

The present invention relates to a method to recommend an item to a user and, more specifically, a method to recommend an adaptive item fused with latent dirichlet allocation (LDA) and an active learning technique in a distributed environment where LDA and the active learning technique are converged to enable more effective recommendations for users thereof. According to the present invention, the item recommending method includes: an item suggesting step of suggesting a first item to a user; a user information calculating step of calculating user information by using grade information about the suggested first item; a profile allocating step of allocating the user to one among profiles, modeled through latent dirichlet allocation (LDA), considering the user information; an item recommending step of recommending a second item by cooperative-filtering considering information about the allocated profile; and a step of determining whether a performance index satisfies a predetermined condition ...

COLLABORATIVE FILTERING

A method of filtering data to predict an observation about an item for a particular case is provided in which: a set of data representing actual observations about a plurality of items for a plurality of different cases is modelled as a function of a plurality of case and item profiles, each profile being a set of parameters comprising at least one hidden metrical variable, the parameters defining characteristics of the respective case or item; a best fit of the function to the data is found in order to find the values of the item profiles; and the profiles found are used together with the function to predict an observation for a particular case about one or more items for which data is not available for that case.

RECOMMENDATIONS BASED ON TOPIC CLUSTERS

A system and method for developing a user's profile based on the user's interaction with content items. A module on the client rendering the content items or the service including the content items tracks the user's interactions with the content items and transmits the tracked data to a user analysis module. The user analysis module determines the topics associated with the interacted upon content items. The user analysis module then selects the topics for the user's profiles based on the received tracked data and the associated topics. The selected topics are mapped to topic clusters and the topic clusters are stored in association with the user profile. Recommendations for a user are made based on the topic clusters associated with the user' profile.

AUTOMATED CONVERSATION ASSISTANCE

Methods, apparatuses, systems, and computer-readable media for providing automated conversation assistance are presented. According to one or more aspects, a computing device may obtain user profile information associated with a user of the computing device, the user profile information including a list of one or more words that have previously been detected in one or more previously captured speeches associated with the user. Subsequently, the computing device may select, based on the user profile information, one or more words from a captured speech for inclusion in a search query. Then, the computing device may generate the search query based on the selected one or more words.

FILE SPLITTING, SCALABLE CODING, AND ASYNCHRONOUS TRANSMISSION IN STREAMED DATA TRANSFER

Files are divided into parts and at least some of the parts are transmitted to a client using a communication channel. At least some of the transmitted parts are cached locally. This allows subsequent streaming playback of the file while using less bandwidth by transmitting the part of the file that hasn't been cached, and combining the cached parts with the transmitted parts. In some embodiments, files may be represented at a low quality level by a first data set, and at higher quality levels with additional data sets. Data sets are cached locally, so that during subsequent streaming playback of the file, the quality level of the playback may be improved by sending additional data sets using bandwidth that would otherwise be dedicated to transmitting the cached data sets.

METHODS AND SYSTEMS FOR SELECTING AND PRESENTING CONTENT BASED ON LEARNED PERIODICITY OF USER CONTENT SELECTION

A method of selecting and presenting content based on learned user preferences is provided. The method includes receiving search input from the user for identifying desired content items and receiving content selection actions from the user. The method further includes analyzing the date, day, and time of content selection actions by the user and analyzing descriptive terms associated with the selected content items to learn a periodicity of user selections of similar content items. In response to subsequent searches by the user, the method calls for selecting and ordering a collection of content items for presentation to the user based on comparing the user's search input to descriptive terms associated with content items and based on the learned periodicities of the user.

System and method of searching for organizing and displaying search results

The invention is directed to a system and method of searching a focal object for related objects. The invention may extract clues or information from the focal object and search the information to identify related objects. The invention also may leverage a chronological timeline of user action information to infer additional relationships with the focal object. The results may be displayed together in a graphical user interface and/or forwarded to a search result recipient. Further, an association graph may graphically depict the focal object and each related object as nodes in a graph.

USER INTERFACE FOR THE ADMINISTRATION OF AN EXTERNAL DATA BASE

COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR CONTENT CREATION

A computer-implemented method for content creation, the method having the steps of: receiving at least one keyword related to said content; creating a first query associated with said at least one keyword; providing said first query to at least one resource to discover information related to said at least one keyword to automatically provide at least one suggestion based on said discovered information to aid said user create content; and whereby said steps are executed in a recursive manner as said content is created.

Method and device for mining community users

The invention discloses a method and a device for mining community users and belongs to the field of the Internet communication. The method for mining community users includes: acquiring original community data of community users; calculating intimacy scores between the community users and the other community users, wherein the intimacy scores are used for marking the intimacy degree between the community users and the other community users; clustering the community users according to the intimacy scores between the community user and the other community users to form community user circles; displaying the community user circles to the community users included in the community user circles so as to enable the community users included in each community user circle to communicate with one another. The device for mining community users comprises a first acquiring module, a calculating module, a clustering module and a displaying module. The method and the device for mining community users ...

LOCAL PROFILING METHOD FOR A USER OF A TERMINAL AND METHOD FOR SEARCHING INFORMATION PRIVATE

Le procédé (100) de profilage local d'un utilisateur d'un terminal comporte, itérativement : - une étape (105) de déverrouillage, par l'utilisateur, de l'accès à un profil utilisateur local de l'utilisateur, - une étape (110) de détection traitement d'évènements, par l'utilisateur sur ce terminal et - une étape (115) d'édition du profil utilisateur en fonction de chaque traitement détecté.

DEVICE AND A METHOD FOR OFFERING CUSTOMIZED CONTENTS BY USING TAG INFORMATION REFLECTING A USER PATTERN, AND A RECORDING MEDIUM THEREOF

PURPOSE: A device and a method for offering customized contents by using tag information, and a recording medium thereof are provided to realize a customized service in each web server without stored user information by reflecting user pattern information collected in a user terminal to provision of the customized information. CONSTITUTION: A query receiver(210) receives and stores a search query inputted by a user. A contents searcher(220) searches a contents set related to the search query of user. A user pattern information requestor(230) requests user pattern information including a user profile and tag information to the user terminal through the network. A user pattern information collector(240) receives the user pattern information from the user terminal. A contents ranking determiner(250) determines ranking of the contents set based on relation to the user pattern information. A contents provider(260) provides the ranked contents set to the user terminal. A user profile generator ...

MEDIA RECOMMENDATION SYSTEM AND METHOD

COLLABORATIVE SEARCHING

Disclosed are techniques that allow users (102, 104, 106) to collaborate in a search. Each user (102, 104, 106) can contribute (300, 400) to an original search and to refining (304, 410) the results of the search. Preferences of all of the users (102, 104, 106) are considered (308, 402) in the search even while those preferences can be kept private. In some embodiments of the present invention, at least two users (102, 104, 106) each submit (300, 304) a search query. The multiple search queries are logically combined (306) to produce (310) one set of search results. The results can be reviewed by the users (102, 104, 106) and refined (304) if necessary. In some embodiments, a search query can be specified (400) by a single user (102, 104, 106), but the search engine takes into consideration (402) the stored preferences of multiple users (102, 104, 106) (in addition to the search query itself, of course).

WORD DATABASE CREATION SYSTEM

It is possible to provide a word database creation system or the like in which the overall management of information on the user using a communication terminal can be facilitated to provide advertisement information which can easily attract the user's attention on the basis of the information and exhibits a high advertising effect. The word database creation system has: a terminal identifier acquiring section for acquiring a terminal identifier for identifying a portable telephone terminal; a query information acquiring section for acquiring query information from the portable telephone terminal; a word information generating section for generating word information by performing the character-conversion of the query information; an importance degree information generating section for generating importance degree information on the word information on the basis of at least any one of the type of query information or the number of acquisitions thereof; and a database creation section for ...

Method and apparatus for providing search results from content on a computer network

A user enters a search query at interface 1 for performing a search on a computer network, such as the Internet. The search results are enhanced by adjusting their weightings to take into account previous searches carried out by members of a group, the membership of which is selected by the user. The group may be a user-defined co-user list, for example. Those previous search results that were of interest to members of the group are thus given greater prominence in the search results presented to the user at display 8. The user's behavior in considering the search results is monitored and the information gained used to update a database 5 holding group search information.

MEDIA RECOMMENDATION SYSTEM AND METHOD

A system and method for providing content offering recommendations to users based on the users' preferences. Content offerings may be assigned to a primary metagenre and one or more sub-genres, as well as a secondary metagenre (and additional sub-genres if desired). The offerings may also be identified by their source, and this information can be used with the primary/secondary metagenre/sub-genre data to prepare a listing of recommended files. The listing may be generated by first generating three match listings: 1) a strong genre match listing identifying those offerings that match two user preferred metagenres; 2) a genre/style match listing identifying those offerings whose primary metagenre and corresponding sub-genre are preferred by the user; and 3) a weak genre match listing identifying those offerings whose primary metagenre matches a user preference, but whose secondary metagenre does not. These listings may be combined, redundancies may be removed, and a subset may be presented ...

METHOD AND APPARATUS FOR MACHINE LEARNING A DOCUMENT RELEVANCE FUNCTION

RELATIONSHIP DISCOVERY ENGINE

A system, method, and computer program product discover relationships among items and recommend items based on the discovered relationships. The recommendations provided by the present invention are based on user profiles that take into account actual preferences of users, without requiring users to complete questionnaires. An improved binomial log likelihood ratio analysis technique is applied, to reduce adverse effects of overstatement of coincidence and predominance of best sellers. The invention may be used, for example, to generate track lists for personalized radio station.

Information targeting systems and methods

The present disclosure relates generally to systems and methods for the secure management of electronic information relating to a user. In certain embodiments, systems and methods disclosed herein may allow for personal information related to a user to be used in connection with information targeting systems and methods configured to match and/or target information for delivery to a user based on the user's interests. In some embodiments, personal information relating to a user may be stored and/or managed in a personal ontology graph or other data structure including, among other things, various inferred interests of the user derived from available personal information.

SYSTEM AND METHOD FOR PERSONALIZED INFORMATION FILTERING AND ALERT GENERATION

A search engine that forms a compact representation of a plurality of user queries to efficiently find desired information in an information network (100). The search engine (102) comprises a profile processor having logic to receive the queries from the users (110) and a search module. The search module is coupled to the profile processor and has logic to receive the information content, to combine the user queries into a master query, and to match the master query with the information content to determine matching content. The search engine also includes logic to analyze the matching content to determine if any of the queries has been satisfied.

User interface/entertainment equipment of imitating human interaction and loading relative external database using relative data

INTENT-BASED CLUSTER FORMATION/IDENTIFICATION AND USE OF INTENT-BASED CLUSTER BY SEARCH ENGINE TO RESPOND TO SEARCH REQUEST

PURPOSE: Intent-based cluster formation and use of the intent-based cluster by a search engine to respond to a search request are provided to quickly/effectively respond to the search request of a user having an identified intent and make a search result more direct/trusted to the search request of the user. CONSTITUTION: For each search session, each received query is identified and a set of matched search results is identified, and it is checked whether specific contents among the contents of the search results are acceptable to the user as a response for the matched search session(301). The search sessions are grouped to the clusters based on at least one of commonality of text in the queries and judgments for the search result(303). Grouping includes steps for forming a table having multiple entries, commonality strength of pairs of sessions, reordering the entries of the table in strength-descending order, and reviewing each reordered entry of the table. © KIPO 2006 ...

SYSTEMS AND METHODS FOR COLLECTING, CLASSIFYING, ORGANIZING AND POPULATING INFORMATION ON ELECTRONIC FORMS

Systems and methods for collecting, classifying, transmitting and updating personal information for completion and submission or supplementation of electronic forms or databases on any type of mobile or other computing device are provided. Information relating to a user is obtained from one or more sources through electronic means, and the information is then organized and securely stored in a database using field mapping and other techniques to classify the information into specific categories. The information that is obtained and organized may include contact information, financial information, health information and historical information. The organized information may then be accessed by the user to automatically and instantaneously populate or supplement an electronic document, form or web-based application without requiring the user to manually enter the information. The system automatically detects and stores updates to information and builds a database of forms and electronic documents ...

System and method for recommending interesting content in an information stream

A system and method for recommending interesting content is provided. A content profile including a vector of words extracted from messages associated with a user is obtained (61). One or more content pointer profiles each including a vector of words associated with a content pointer located within one or more messages are obtained (62). The content profile is compared (63) with each of the content pointer profiles. A relevance score is determined (64) for that content pointer by calculating a similarity between the user words and the content pointer words. The content pointers are ranked based on the relevance score. A threshold is applied to select the content pointers and those content pointers that satisfy the threshold are selected as the content pointers most relevant to the user.

METHOD AND APPARATUS FOR UPDATING A USER TERMINAL

TEXT MINING SERVER AND SYSTEM

PROBLEM TO BE SOLVED: To simply grasp a feature of the whole of a gene group consisting of a plurality of genes. SOLUTION: A text mining system accepts a plurality of retrieval keys from a client (102A) to refer to a table with correspondence relations between the retrieval keys and document groups recorded thereon and obtains a set of the document groups respectively corresponding to the accepted plurality of retrieval keys (102B). Next, the system creates a feature word list having relative importance regarding each retrieval key (102C) and creates a feature table on the basis of the list (102D). Finally, the system sorts the table (103B) to color and display it (103C). COPYRIGHT: (C)2006,JPO&NCIPI ...

Electronic shop customer registration method

PROVIDING CONTROL OVER A PERSONALIZED CATEGORY OF INFORMATION

Embodiments disclosed herein relate to providing control over a personalized category of information. In one embodiment, a personalized category of information is determined based on stored information associated with the use of an electronic device (110). In one embodiment, user feedback on the personalized category of information is received. If the user feedback comprises a rejection of the personalized category of information, the personalized category of information is discarded.

BEHAVIOR FEATURE EXTRACTION DEVICE, BEHAVIOR FEATURE EXTRACTION SYSTEM, BEHAVIOR FEATURE EXTRACTION METHOD, BEHAVIOR FEATURE EXTRACTION PROGRAM

A home location and a workplace location, which characterize a user's behavior, are extracted from a location information history. A behavior feature extraction device (300) is provided with a behavior type storage unit (202) and a behavior feature extraction unit (302). The behavior type storage unit (202) stores lodging location information containing the lodging locations where a user has lodged, the start dates of lodging at said lodging locations, and the end dates of lodging at said lodging locations. The behavior feature extraction unit (302), on the basis of this lodging location information in the behavior type storage unit (202), calculates the number of days lodged at each of the lodging locations, extracts from said lodging locations the lodging location with the highest number of lodging days as the home lodging location, and extracts from said lodging locations the lodging location with the second highest number of lodging days as the workplace lodging location.

SYSTEMS AND METHODS FOR EXTRACTING PHRASES FROM TEXT

Systems and methods for extracting phrases from text are disclosed In an exemplary embodiment, a method may include preprocessing desired phrases into at least one phrase indexing data structure for efficient matching. The method may also include scanning text to construct a hash table including keys and corresponding entries. The method may also include locating suffix trie trees for each word in the hash table. The method may also include matching each position in the hash table against the suffix trie trees, and outputting phrases matched in the scanned text.

INFERRING USER MOOD BASED ON USER AND GROUP CHARACTERISTIC DATA

An individual's responsiveness to targeted content delivery can be affected by a number of factors, such as an interest in the content, other content the user is currently interacting with, the user's current location, or even the time of day. A way of improving targeted content delivery can be to infer a user's current mood and then deliver content that is selected, at least in part, based on the inferred mood. The present technology analyzes mood-associated characteristic data collected over a period of time to produce at least one baseline mood profile for a user. The user's current mood can then be inferred by applying one or more mood rules to compare current mood-associated data to at least one baseline mood profile for the user.

DEVICE FOR PROVIDING INFORMATION, METHOD FOR PROVIDING INFORMATION, PROGRAM FOR PROVIDING INFORMATION, AND COMPUTER-READABLE RECORDING MEDIUM STORING PROGRAM FOR SAME

This device for providing information (50) is provided with: a query extraction unit (51) which, on the basis of query information including a first search condition corresponding to a facility attribute and a second search condition corresponding to an added attribute which were used in a search for facilities by the user, and attribute information within a facilities database (31), extracts query information for which the first search condition corresponds to the facility attribute of the retrieved facility and the second search condition does not correspond to the added attribute of the retrieved facility; a recommendation information generation unit (52) for generating recommendation information related to the added attribute on the basis of the extracted query information; and a transmission unit (53) which presents the recommendation information to the facility that has been retrieved.

METHODS AND SYSTEMS FOR SELECTING AND PRESENTING CONTENT BASED ON LEARNED USER PREFERENCES

A method of selecting and presenting content based on learned user preferences is provided. The method includes learning the user's context-sensitive content preferences based on content selected by the user and based on determining a context in which the user performed the selections. The context can include the location of the user and/or time of the selection; the context can also include the dataspace of the content. In response to subsequent searches by the user, the method calls for determining the context of the subsequent search and utilizing the user's matching context-sensitive content preferences to select and order content items for presentation to the user.

SYSTEM AND METHOD OF PROVIDING A COMPUTER-GENERATED RESPONSE

The present invention generally concerns a method and a system for providing a computer-generated response in response to natural language inputs. The response includes, but is not limited to, visual, audio, and textual forms. The response is capable of being displayed or shown in a visual 2- or 3- dimensional virtual world. In one aspect, the present invention provides a method of providing a computer- generated response, comprising the steps of (i) receiving a computer-recognisable input originating from a user of a computer-simulated environment for facilitating interaction between the user and a simulated character controlled by a controller, (ii) extracting input information from the computer-recognisable input as extracted input information at least partly by linguistic analysis or semantic analysis and (iii) causing an action to be generated in response to the computer-recognisable input based at least partly on the extracted input information.

SYSTEM AND METHOD FOR PERSONALIZED INFORMATION FILTERING AND ALERT GENERATION

Cette invention concerne un moteur de recherche qui va former une représentation compacte de plusieurs requêtes utilisateur afin de trouver efficacement les informations voulues dans un réseau d'informations (100). Le moteur de recherche (102) comprend un processeur de profils possédant un circuit logique afin de recevoir des requêtes des utilisateurs (110), ainsi qu'un module de recherche. Le module de recherche est couplé au processeur de profils et possède un circuit logique afin de recevoir le contenu des informations, de combiner les requêtes utilisateur en une requête principale, et mettre la requête principale en correspondance avec le contenu des informations afin de déterminer le contenu correspondant. Le moteur de recherche comprend en outre un circuit logique afin d'analyser le contenu correspondant et de déterminer si l'une des requêtes a été satisfaite.

PERSONALIZED SEARCH LIBRARY BASED ON CONTINUAL CONCEPT CORRELATION

A system, devices, and methods for providing a personalized search library based on continual concept correlation include a client computing device and a personalized content server. Content events representing content accessed or manipulated by a user of the client computing device are continually generated. Content associated with the content events is continually parsed and analyzed to extract main concepts. The extracted concepts are correlated and weighted into a concept model, based on the order of the content events. The concept model parallels the structure of the user's memory. Data sources are continually searched for content relevant to a current context of the concept model. Relevant content is indexed according to the concept model. The relevant content may be made available to the user upon request or proactively. Relevant content may be cached for future use by the user. Other embodiments are described and claimed.

METHOD FOR AUTOMATIC PROCESSING OF INFORMATION MATERIALS FOR CUSTOMISED USE

Inventions relating to the field of information technologies provide an appropriate account of "user's profile", i.e. user's information need, and supply a user with data about the content of the whole complex of processed information materials in a integrated form with a quantitative evaluation of relative covering, in processed materials, various components of "user's profile" both separately and in relations thereof. The presence of data in materials being processed relating to elements of "user's profile" is detected and these data are demonstrated in visual or audiovisual forms local structures, i.e. graphs reflecting a character of relationship of each independent sense fragment of materials being processed with the mentioned elements, are generated. Some from the suggested methods provide a user with the statistics, in visual form, on the frequency of using of various particular local structures and structures with different number of elements of "user's profile" included therein ...

GENERATING EXPLANATORY ELECTRONIC DOCUMENTS USING SEMANTIC EVALUATION

Implementations are directed to providing an explanatory electronic document with actions including providing a target subject profile based on user input and one or more ontologies, the target subject profile including associations describing a subject at respective degrees of specificity, providing a set of peer user profiles using semantic user profile association between the user profile and each peer user profile in a superset of peer user profiles, retrieving one or more peer subject profiles, each peer subject profile being associated with a peer user profile in the set of peer user profiles, and including associations describing a past subject experienced by a peer user, filtering at least one association from a peer subject profile based on data provided in a knowledge graph, and providing at least one explanatory text string associated with the subject based on at least one remaining association in the peer subject profile. (N . Подробнее

AUTOMATED PROFILER SYSTEM FOR PROVIDING MEDICAL INFORMATION TO PATIENTS

Apparatus and methods are disclosed for generating individualized medical profiles based on information provided by a patient(210), and on data extracted from medical literature (206), in a first stage, medical literature (206) is selected for inclusion in a database (22) by using specified inclusion criteria. Information on input parameters (44) of the studies, and algorithms contained in the studies is extracted from the literature, and stored in a database (22). In a second stage, patients provide information (210), which is matched against the input parameters (44) of the studies in the database (22), and algorithms from the matched studies are applied to the information provided by the patient to produce values for the output parameters (45). Combination analysis is used to combine the values of output parameters into "super-category" values, that are used to generate an individualized medical profile.

Related content display associated with browsing

데이터 클러스터들에 대한 컨텍스트 라벨들의 할당에 의한 모바일 디바이스에서의 컨텍스트 모델의 관리

... 데이터 클러스터들에 대한 컨텍스트 라벨들을 적용시키고 이용하기 위한 시스템들 및 방법들이 본원에 제공된다. 모바일 디바이스와 연관된 컨텍스트 모델을 관리하기 위한, 본원에 설명된 방법은, 하나 또는 둘 이상의 제 1 데이터 소스들에 할당된 제 1 데이터 스트림과 연관된 제 1 데이터 포인트들을 획득하는 단계; 제 1 데이터 포인트들 중, 유사성의 임계량을 나타내며 서로에 대한 시간의 임계량 내의 시간들과 연관된 포인트들이 각각의 클러스터에 각각 할당되도록, 클러스터들의 세트의 각각의 클러스터들에 제 1 데이터 포인트들의 포인트들을 할당하는 단계; 각각의 다른 데이터 소스들에 할당된 제 1 데이터 스트림 또는 하나 또는 둘 이상의 다른 데이터 스트림들에 대응하는 통계 특징들 및 추론들을 컴파일링하는 단계; 및 통계 특징들 및 추론들에 기초하여 클러스터들의 세트 각각에 컨텍스트 라벨들을 할당하는 단계를 포함한다.

데이터 클러스터들에 대한 컨텍스트 라벨들의 할당에 의한 모바일 디바이스에서의 컨텍스트 모델의 관리

... 데이터 클러스터들에 대한 컨텍스트 라벨들을 적용시키고 이용하기 위한 시스템들 및 방법들이 본원에 제공된다. 모바일 디바이스와 연관된 컨텍스트 모델을 관리하기 위한, 본원에 설명된 방법은, 하나 또는 둘 이상의 제 1 데이터 소스들에 할당된 제 1 데이터 스트림과 연관된 제 1 데이터 포인트들을 획득하는 단계; 제 1 데이터 포인트들 중, 유사성의 임계량을 나타내며 서로에 대한 시간의 임계량 내의 시간들과 연관된 포인트들이 각각의 클러스터에 각각 할당되도록, 클러스터들의 세트의 각각의 클러스터들에 제 1 데이터 포인트들의 포인트들을 할당하는 단계; 각각의 다른 데이터 소스들에 할당된 제 1 데이터 스트림 또는 하나 또는 둘 이상의 다른 데이터 스트림들에 대응하는 통계 특징들 및 추론들을 컴파일링하는 단계; 및 통계 특징들 및 추론들에 기초하여 클러스터들의 세트 각각에 컨텍스트 라벨들을 할당하는 단계를 포함한다.

COLLABORATIVE SEARCHING

Disclosed are techniques that allow users (102, 104, 106) to collaborate in a search. Each user (102, 104, 106) can contribute (300, 400) to an original search and to refining (304, 410) the results of the search. Preferences of all of the users (102, 104, 106) are considered (308, 402) in the search even while those preferences can be kept private. In some embodiments of the present invention, at least two users (102, 104, 106) each submit (300, 304) a search query. The multiple search queries are logically combined (306) to produce (310) one set of search results. The results can be reviewed by the users (102, 104, 106) and refined (304) if necessary. In some embodiments, a search query can be specified (400) by a single user (102, 104, 106), but the search engine takes into consideration (402) the stored preferences of multiple users (102, 104, 106) (in addition to the search query itself, of course).

Detecting stress based on thermal measurements of the face

Described herein are systems and methods for detecting a stress level of a user. In one embodiment, a system includes an inward-facing head-mounted thermal camera (CAM) and a computer. CAM takes thermal measurements of a region on a periorbital area (TH) of the user. The computer generates feature values based on TH, and utilizes a model to detect the stress level based on the feature values. The model was trained based on: previous THtaken while the user was under elevated stress, and other previous THtaken while the user was not under elevated stress. Some embodiments may utilize additional thermal cameras that take thermal measurements of other regions on the face, which may be utilized to detect the stress level. 1. A system configured to detect a stress level , comprising:{'sub': 'ROI1', "an inward-facing head-mounted thermal camera (CAM) located less than 10 cm from a user's head and configured to take thermal measurements of a region on a periorbital area (TH) of the user; and"}{'sub': ROI1', 'ROI1', 'ROI1, 'a computer configured to generate feature values based on TH, and to utilize a model to detect the stress level based on the feature values; wherein the model was trained based on: previous THtaken while the user was under elevated stress, and other previous THtaken while the user was not under elevated stress.'}22. The system of claim 1 , wherein the region on the periorbital area is a region of the periorbital area of the right eye; and further comprising a second inward-facing head-mounted thermal camera (CAM) located less than 10 cm from the user's face and configured to take thermal measurements of a region on the periorbital area of the left eye (TH); wherein the computer is further configured to detect the stress level also based on TH.32. The system of claim 2 , further comprising a frame configured to be worn on the user's head; wherein CAM and CAM are located at least 0.5 cm to the right and to the left of the vertical symmetry axis claim 2 , ...

Method and device for publishing cross-network user behavioral data

The present invention relates to summarizing cross-network user behavioral data. The summarizing cross-network user behavioral data may particularly include publishing the data to one or more data structures that become accessible to a server hosting an authorized domain when a user accesses the authorized domain.

Method and apparatus for dynamic relevance ranking

The present invention provides a method and apparatus for implementing dynamic relevance ranking. The method includes the step of registering a profile. A newly received document is dynamically filtered with the profile. Registration is performed by entering the profile, and searching training data in accordance with the profile. The training data is searched by determining the relevance score of documents in the training data. The documents in the training data are ranked to form a list. The least relevant document in the list is specified.

DISPLAY MODE SELECTION ACCORDING TO A USER PROFILE OR A HIERARCHY OF CRITERIA

Some implementations provide automatic display mode selection for a device, such as a mobile display device, according to a hierarchy of criteria. Each display mode may correspond with a set of display parameter settings, which may include a color depth setting, a brightness setting, etc. In some examples, one of the criteria may correspond with a software application being executed on the device. Some implementations involve creating a display device user profile and controlling a display of a mobile display device according to the user profile. The user profile may be built gradually over some number of days/weeks/months after the first use of the device. In some implementations, display parameter setting information or other device setting information corresponding to data in a user profile, including but not limited to demographic data, may be received by a mobile display device from another device, such as a server.

Methods and systems for knowledge management

Methods for knowledge management which may be performed within a data processing system. In one method, documents held in a database are displayed. Usage information relating to each document in the database is accumulated, a usage score is determined based on that information and a relevance value is assigned. The relevance value is then used to sort the documents and a list is presented to the user. Preferably, knowledge related concepts are defined and a profile representing a knowledge requirement of the user is established. A profile score may then be calculated and included in the relevance value. A user score, based on a subjective assessment of the document, may also be included in the relevance value.

Customer self service subsystem for context cluster discovery and validation

A system and method for clustering user contexts in a customer self service system that performs resource search and selection. The customer self service system includes a context attribute database comprising types of user contexts and one or more context attributes associated with each user context for processing by the system, and context attribute function database comprising functions for computing values for each context attribute. The context clustering system receives user interaction data from among a database of user interaction records and a distance metric for associating closeness of the user interaction data and clusters the user interaction data according to the distance metric to determine new user contexts and associated attributes for use in subsequent resource searches initiated by users in the system. Improved user query definition and resource lookup results from the new determined user context attributes. The user interaction data comprises past and present user queries ...

A system, method, computer program and data signal for the provision of a profile of identification

In one aspect, the invention provides a method for the provision of a profile, comprising the steps of, receiving information relevant to an individual, formatting the information into a format suitable for use in an identification situation, and storing the information in the format.

The graph-based query

PROCEEDED OF TREATMENT, DEVICES DATA-PROCESSING, COMPUTING SYSTEM INCLUDING/UNDERSTANDING SUCH DEVICES, AND COMPUTER PROGRAM ASSOCIATES

System for automatically profiling user of e.g. office computer connected to Internet, has motor module to produce updating information that modifies user profile by modifying relevancy scores of classification identifying information

Un système (200) et un procédé de profilage automatique d'un utilisateur basé sur les actions sur un réseau effectuées par un utilisateur. Le profil fournit une caractérisation des préférences utilisateur basées sur un événement utilisateur reçu. L'événement utilisateur identifie l'information d'identification d'événement et un identifiant d'utilisateur. Une consultation (512) dans une carte Web cache est exécutée afin de récupérer (516) l'information de classification liée à l'information d'identification d'événement. Un profil utilisateur est récupéré (520) ou créé pour l'identifiant utilisateur. Une information de mise à jour de profil est générée (522) en se basant sur l'information de classification récupérée pour l'événement utilisateur, afin d'identifier comment le profil utilisateur doit être mis à jour en se basant sur l'information de classification récupérée et des règles de profilage définies. Le profil utilisateur est mis à jour (524) et stocké (526) pour permettre à un serveur ...

PROCESSING METHOD, COMPUTER DEVICES, COMPUTER SYSTEM INCLUDING SUCH DEVICES, AND RELATED COMPUTER PROGRAM

The invention relates to a processing method in a system (10) including first (12) and second (14) computer devices that are connected together by a data link (16), the second device (14) receiving batches of data to be sorted into N categories, wherein according to said method: an algorithm (20) for sorting into N categories, which is stored in the second device (14), is executed in the second device (14) and determines a respective category from among the N categories for each batch of data; and an action is selectively triggered on the basis of the category determined for said received data batches, respectively, wherein the algorithm for sorting into N categories is obtained in advance by means of the following steps: i) a data sample is generated for each of the N categories; ii) on the basis of the data received by the first device (12) for the data samples, an algorithm (20) for sorting into N categories is determined by the first device (12) on the basis of consecutive iterations ...

AD SELECTION SYSTEMS AND METHODS

Systems and methods are described for dynamically selecting an advertisement for presentation to an end user in combination with an electronic content item. In one embodiment, a control associated with the electronic content item is evaluated to determine whether the advertisement is permitted to be presented in combination with the electronic content item. A control associated with the advertisement is also evaluated to determine an amount that the provider of the advertisement is willing to pay to have the advertisement presented to the end user in combination with the electronic content item. If this amount is greater than the amount bid by other advertisements, then the advertisement and the content item are presented together to the end user.

METHOD FOR GENERATING SEARCH RESULT AND SYSTEM FOR INFORMATION SEARCH

The present disclosure discloses a method for generating a search result and an information search system The method for generating a search result includes: receiving, by an information search system, a search request; obtaining, by searching, a plurality of pieces of matching information that match the search request; obtaining a respective amount of user response associated with each of the plurality of pieces of matching information and further obtaining a total amount of user response associated with a respective categones to which each of the plurality of pieces of matching information belongs; and ranking the plurality of pieces of information to generate a search result based on the total amount of user response associated with the respective category to which each of the plurality of pieces of matching information belongs.

ONLINE LEARNING COLLABORATION SYSTEM AND METHOD

Systems and methods for associating cohorts in a social networking environment are provided. At least two users of a social network can be associated in a cohort based at least in part on a determined relationship between the at least two users. This relationship can be different from relationships defined by the users. An analysis of one or more parameters of the at least two users in the cohort can be performed based at least in part on the cohort, wherein the one or more parameters are unrelated to association of the at least two users in the cohort. The parameters can be used to longitudinally measure parameters of the at least two users that may have been impacted by association in the cohort. At least a portion of the analysis can be communicated.

ADAPTIVE PERSONALIZED NODE RANKING IN A DATABASE

A method and apparatus for re-ranking a current search result by evaluating previous actions of other users, who acted similarly to a target user on previous queries unrelated to the current search result, with respect to an information node returned in the current search result.

SYSTEM AND METHOD FOR USING PERSONALIZED CONTENT TO MEDIATE AND MEASURE PERSON TO PERSON RELATIONSHIPS

System and method to work with multiple pair-wise related entities

The invention uses pair-wise relations such as dissimilarity, similarity or correlation to identify related items by translating the relations into a set of points in a geometric space, where each point in the set of points represents an item, and where the distance between any two points directly corresponds to the dissimilarity value of the two items represented by the two points. A family of graphs is computed from the Voronoï diagram for the set of points. This family of graphs may be used for a variety of applications, including recommendation systems. For some applications, clustering may be used to assist in visualizing and identifying relations among items. In the case of recommendation systems, graphs reflecting customer preferences are clustered to identify customers with similar tastes.

REVISITING CONTENT HISTORY

The content items presented to a user account as part of a media station can be recorded in a content history index, which can be requested and presented to the user account. The content history can enable a user to revisit the content items included in the content history and/or provide feedback regarding the content items. The version of the content item returned to the user can be based on the client device used to request the content item. For example, a user that was presented a content item on their mobile device, can later request to revisit the content item on their PC and receive a version of the content item best suited for presentation by the PC, rather than the version presented on the mobile device.

INFORMATION PROCESSING METHOD, INFORMATION PROCESSING SYSTEM, AND SERVER

A community creating site (50) is connected to an information terminal (20) over a network. When a user inputs a search keyword on the information terminal (20), an input information acquirer (62) acquires the search keyword via a Web server (52) and registers it in a user information master (84) together with user information. A community creator (66) creates a community by extracting users who have inputted the same search keyword from the users registered in the user information master (84) and recording them in a community information master (86). An information extractor (68) sends to the information terminal (20) the user information on the other users belonging to the same community via a Web server (52).

GENERATING PERSONALIZED USER PROFILES FOR UTILIZING THE GENERATED USER PROFILES TO PERFORM ADAPTIVE INTERNET SEARCHES

... ▓▓▓A system and method for automatically generating personalized user profiles ▓and for utilizing the generated profiles to perform adaptive Internet or ▓computer data searches is provided. In accordance with the present invention, ▓particular linguistic patterns and their frequency of recurrence are extracted ▓from personal texts provided by the users of the system of the present ▓invention and stored in a user profile data file such that the user profile ▓data file is representative of the user's overall linguistic patterns and the ▓frequencies of recurrence thereof. All documents in a remote computer system ▓(30), such as the Internet, are likewise analyzed and their linguistic ▓patterns and pattern frequencies are also extracted and stored in ▓corresponding document profiles. When a search for particular data is ▓initiated by the user, linguistic patterns are also extracted from a search ▓string provided by the user into a search profile. The user profile is then ▓cross matched with ...

An information sending method and device

For modifying the user profile and make recommended set automatic audience detection

COLLECTION AND MANAGEMENT OF PRECISION USER PREFERENCE DATA

... 방법들 및 시스템들은 디바이스 특정 사용자 선호도 데이터를 로컬 디바이스에 저장하고 원격 디바이스로부터 실시간 요청을 수신하는 것을 포함할 수 있다. 하나 이상의 사용자 계수들이 요청에 응답하여 디바이스 특정 사용자 선호도 데이터를 필터링하기 위해 사용될 수 있다. 일 예에서, 사용자 선호도 데이터는 키워드 데이터를 포함하고 필터링된 키워드 데이터는 정보를 발견하여 원격 디바이스를 통해 사용자에게 제공하기 위해 사용된다.

Providing Control Over a Personalized Category of Information

Embodiments disclosed herein relate to providing control over a personalized category of information. In one embodiment, a personalized category of information is determined based on stored information associated with the use of an electronic device 110. In one embodiment, user feedback on the personalized category of information is received. If the user feedback comprises a rejection of the personalized category of information, the personalized category of information is discarded. 1. A computing system for providing control over a personalized category of information , comprising:{'b': 102', '104, 'claim-text': [{'b': 110', '110, 'receive from a second electronic device stored information associated with the use of the second electronic device ;'}, {'b': '110', 'determine a personalized category of information based on the stored information associated with the use of the second electronic device ;'}, 'receive user feedback related to the personalized category of information; and', discard the personalized category of information, wherein discarding the personalized category of information comprises making the personalized category of information unavailable for use; and', 'discard the stored information used to determine the personalized category., 'if the feedback comprises a rejection of the personalized category of information], 'a first electronic device comprising a processor to2104. The computing system of claim 1 , wherein if the feedback comprises a modification to the personalized category of information claim 1 , the processor modifies the personalized category of information based on the feedback.3. The computing system of claim 1 , wherein a modification to the personalized category of information comprises at least one of:adding a restriction on the manner of use of the personalized category of information;updating a restriction on the manner of use of the personalized category of information;updating the personalized category of information to be ...

Natural language interpretation of hierarchical data

A computer-implemented method includes receiving a search label and accessing a hierarchical data source comprising a plurality of nodes. One node may be a context node. The method further includes determining a similarity score between the search label and a node label of each node, determining a contextual score between the context node and each node, combining, for each node, the similarity score with the contextual score to yield a combined score, and returning a result. The result may be based on ordering the plurality of nodes according to each node's combined score. A corresponding computer program product and computer system are also disclosed.

NATIONAL PATIENT PHARMACY IDENTIFIER

Social Prescription Identification Number (SPIN) is a unique national outpatient identification number to collectively and individually identify every pharmacy patient in one national interoperable super database. The super database will interface with America's interdependent, competitively fragmented retail pharmacy networks, tracking individual patient prescription transactions. SPIN will function as an insurance identification number offering comprehensive necessary real time prescription adjudication information from insurance providers. One national pharmacy identification number in its own national database, is an option offering U.S. government and/or American retail pharmacy, benefits of a national provider outpatient prescription service overlay of a diverse retail pharmacy network. Technological evolution, configuration change, and national pharmacy network diversity may not be conducive to cellular modules during patent formation. 1. A national system for the providing of pharmacy drugs to patients from a plurality of pharmacy providers , the system comprising:an interoperable super database having a storage medium;a communications network interface wherein each individual patient can apply for and receive an identification number (SPIN) from the super database based on data of the patient that is unique to the patient and not duplicative;a communications network interface wherein insurance providers input all necessary patient insurance routing information, adjudication and billing information to the super database for each patient identified by a SPIN as their insurance identification number;a communication network wherein pharmacy providers can input adjudication, and billing information as well as all necessary prescription post transaction information from a plurality of interdependent outpatient pharmacy providers in the U.S as well as pharmacy provider identifiers, pharmacy location and store number, physician provider identifiers, drug ...

RECOMMENDATION SYSTEM BASED ON GROUP PROFILES OF PERSONAL TASTE

This document describes a method and system for recommending items, such as beverages, that members of a group are likely to find appealing. When group members are identified, the system may identify one or more preference models for each member. Each preference model represents a pattern of dependency between characteristics of items that the member has rated and the member's ratings for those items. The system may develop a group preference profile by merging the patterns of dependency for each of the members into a group preference model. Then, when it receives a request for a recommendation for an item, the system uses the group preference profile to select, from a database, a candidate item having characteristics which are likely to appeal to many or all members of the group. 120-. (canceled)21. A group recommendation system , comprising:a non-transitory memory device portion holding a database comprising characteristics for a plurality of candidate items;a processor; and receive a plurality of characteristics for a plurality of items that users in a group of users have rated,', "identify, for each user in the group of users, a preference profile that comprises data representing a pattern of dependency between the user's ratings for items that the user has rated and characteristics of at least a portion of the items that the user has rated,", 'create a group preference profile for the group based on the preference profiles for each user in the group,', 'receive a request for a group recommendation,', 'select, from the database based on the group preference profile, a candidate item having characteristics that at least a plurality of users in group are expected to find appealing, and', 'generate a recommendation for the selected candidate item., 'a non-transitory memory device portion holding programming instructions that are configured to instruct the processor to22. The group recommendation system of claim 21 , wherein the programming instructions to create ...

SYSTEM AND METHOD FOR GENERATING PROFESSIONAL PROFILE FOR EMPLOYEES

System and method for generating professional profile of an employee in an organization are disclosed. An organizational ontology may be built for the employee. The organizational ontology may be indicative of interrelationships between the employee, other employees and tasks performed by the employee. Further, email data associated with the employee may be stored for a complete lifecycle of the employee. The email data may be analyzed to identify insights about the employee and the professional profile may be generated based on the identified insights. 1. A system for generating an employee profile , the system comprising:a memory; anda processor coupled to the memory, wherein the processor is configured to execute instructions stored in the memory to:build an organizational ontology for an employee working in an organization, wherein the organizational ontology comprises a plurality of branches at least indicative of interrelationships between the employee, one or more other employees and one or more tasks performed by the employee;store email data for the employee, wherein the email data is stored for an employee lifecycle of the employee, wherein the employee lifecycle is indicative of a tenure completed by the employee in the organization;analyze, based on each branch of the organizational ontology, the stored email data, for determining one or more insights associated with the employee; andgenerate a professional profile for the employee, based at least on the one or more insights.2. The system of claim 1 , wherein the processor is further configured to execute instructions stored in the memory to analyze the email data based on one of a natural language processing analysis claim 1 , syntactic parsing claim 1 , entity recognition analysis claim 1 , co-reference analysis claim 1 , sentiment analysis claim 1 , and quantitative text analysis.3. The system of claim 1 , wherein the plurality of branches of the organizational ontology are further indicative of ...

INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING SYSTEM

An information processing apparatus includes a storage unit storing screens including display item and display item names or screen names, a display unit, and a control unit. The control unit causes the display unit to display a candidate of the display item names or the screen names. When the displayed display item name or screen name is selected, the control unit searches through the storage unit for the screen including the selected display item name or the screen corresponding to the selected screen name and causes the display unit to display the screen and the storage unit to store a transition history up to the displayed screen. When the recorded screen is being displayed, the control unit causes the display unit to display, as a candidate, the display item name or the screen name included in the screen displayed subsequently to the screen being displayed based on the transition history. 1. An information processing apparatus comprising:a storage unit that stores a plurality of screens including at least one display item and that also stores display item names or screen names;an input unit that allows a user to perform an input;a display unit; anda control unit,wherein the control unit causes the display unit to display a candidate of at least one of the display item names or the screen names stored in the storage unit, wherein when the displayed display item name or screen name is selected via the input unit, the control unit searches through the storage unit for the screen including the selected display item name or the screen corresponding to the selected screen name and causes the display unit to display the screen and the storage unit to store a transition history up to the displayed screen, and wherein when the screen recorded in the transition history stored in the storage unit is being displayed, the control unit causes the display unit to display, as a candidate, the display item name included in the screen displayed subsequently to the screen being ...

ACCUMULATION OF REAL-TIME CROWD SOURCED DATA FOR INFERRING METADATA ABOUT ENTITIES

Various technologies pertaining to crowd sourcing data about an entity, such as a business, are described. Additionally, technologies pertaining to inferring metadata about the entity based upon crowd sourced data are described. A sensor in a mobile computing device is activated responsive to a user of the mobile computing device checking in at an entity. Metadata, such as occupancy at the entity, noise at the entity, and the like is inferred using the data captured by the sensor. A search result for the entity includes the metadata. 1. A computing system comprising:a processor; and based upon a query received from a client computing device that is in network communication with the computing system, identifying an entity that is at a geographic location;', 'determining a current state of a parameter of the entity, wherein the current state of the parameter of the entity is determined based upon data generated by sensors of mobile computing devices, wherein the mobile computing devices were at the geographic location when the data was generated;', 'constructing a search result based upon the entity and the determined state of the parameter of the entity, wherein the search result comprises an identity of the entity and the current state of the parameter of the entity; and', 'transmitting the search result for display on a display of the client computing device, wherein the search result, when displayed on the display of the client computing device, depicts the current state of the parameter of the entity., 'instructions that, when executed by the processor, cause the processor to perform acts comprising2. The computing system of claim 1 , the acts further comprising:ranking the search result relative to a plurality of other search results based upon the query and the current state of the parameter of the entity.3. The computing system of claim 1 , wherein the query received from the client computing device identifies a geographic region that includes the geographic ...

CONCIERGE-SHOPPING WIDGET-METHOD FOR USER MANAGED PROFILE AND SELECTIVE TRANSMISSION THEREOF

A method for managing user-interest information implemented by a data processing device. A set of user-provided conditions are accessed, which are based either on content of released information, on limitations on use of released information, or on both. The user-interest information or a derivative thereof is transmitted to a recipient, subject to the user-provided conditions. 1. A method comprising:managing, at a computing device, a user profile comprising information about a user;receiving, at the computing device, a selection of a condition that indicates a subset of the information about the user from the user profile that is permitted for sharing with a recipient; andconveying, by the computing device, the subset of information to the recipient in accordance with the selection of the condition that indicates the subset of the information about the user that is permitted for sharing.2. The method of claim 1 , wherein the user profile comprises a history of user online activity claim 1 , digital records associated with the user claim 1 , and information inputted by the user.3. The method of claim 1 , wherein the receiving the selection of the condition comprises receiving the selection of the condition from the user.4. The method of claim 1 , wherein the selection of the condition comprises a selection of the subset of the information about the user and a selection of a limitation on sharing of the subset of the information about the user.5. The method of claim 4 , wherein the selection of the subset of the information comprises a selection of an information field from the user profile.6. The method of claim 4 , wherein the limitation on sharing of the subset of the information comprises a limited period of time for which the subset of the information is permitted for sharing.7. The method of claim 4 , wherein the limitation on sharing of the subset of the information comprises specification of one or more recipients for which the subset of the information may ...

Indexing Routes Using Similarity Hashing

A method and apparatus for indexing routes using similarity hashing. In an embodiment, a processor identifies a route wherein the route includes one or more links. The processor identifies a route attribute wherein the route attribute describes the route. The processor hashes the one or more links to determine a minimum link with a minimum hash value. The processor assigns the route attribute to the minimum link.

SYSTEM AND METHOD FOR NATURAL LANGUAGE DRIVEN SEARCH AND DISCOVERY IN LARGE DATA SOURCES

In some natural language understanding (NLU) applications, results may not be tailored to the user's query. In an embodiment of the present invention, a method includes tagging elements of automated speech recognition (ASR) data based on an ontology stored in a memory. The method further includes indexing tagged elements to an entity of the ontology. The method further includes generating a logical form of the ASR data based on the tagged elements and the indexed entities. The method further includes mapping the logical form to a query to a respective corresponding database stored in the memory. The method further includes issuing the query to the respective corresponding databases. The method further includes presenting results of the query to the user via a display or a voice response system. 1. A computer-implemented method comprising:in response to automated speech recognition (ASR) data, sending at least one coordinated request to a plurality of processing modules or plurality of data sources, each coordinated request based on an ontology common to the plurality of processing modules and the plurality of data sources;based on at least one response to the at least one coordinated request from one of the plurality of processing modules or the plurality of data sources, dynamically determining (a) a result or (b) a next coordinated request, including data of the request and which of the plurality of processing modules or the plurality of data sources is the destination.2. The computer-implemented method of claim 1 , wherein the dynamically determined requests include:tagging elements of the ASR data based on the ontology stored in a memory;indexing tagged elements to an entity of the ontology;generating a logical form of the ASR data based on the tagged elements corresponding to the entities of the ontology and the indexed entities;mapping the logical form to at least one query to at least one respective corresponding database stored in the memory;issuing the at ...

PROFILE-BASED SEARCH RESULTS MODIFICATION

In at least one implementation, the described technology provides a method for improving search results. The method includes generating multiple user profiles based on monitored content navigation history associated with a query set. The user profiles are used to modify search results based on a selected user profile. The selected user profile may be used to send re-queries if the received queries do not satisfy a profile-based condition. The selected user profile may be used to filter, rank, and modify the layout of received results to present the modified results to the user. 1. A system for personalizing search results received by a user at a device responsive to a query entered on the device , the system comprising:a user profile generator configured to generate multiple user profiles, each user profile of the multiple user profiles being based on an associated query set and content navigation history data associated with one or more queries of the associated query set;a user profile selector configured to receive and classify the query entered by the user into a query set associated with a selected user profile of the multiple user profiles; anda profile-based search result modifier configured to modify the search results received by the user based on the selected user profile associated with the query set.2. The system of wherein the profile-based result modifier is configured to modify the search results received from the search engine by:filtering the received search results based on the selected user profile.3. The system of wherein the profile-based result modifier is configured to modify the search results received from the search engine by:ranking the received search result to exclude irrelevant search results.4. The system of wherein the profile-based result modifier is configured to modify the search results received from the search engine by:iteratively generating new queries until the received search results satisfy a user profile-based condition, ...

Crowd-based ranking of types of food using measurements of affective response

Some aspects of this disclosure involve ranking types of food based on measurements of affective response of users who consumed the types of food. In one embodiment, a system that ranks types of food includes sensors that take measurements of affective response of users and a computer. The computer receives indications of times at which the users consumed the types of food and selects for each type of food, based on the indications, measurements of at least five of the users taken up to four hours after consuming the type of food. The computer ranks the types of food based on the selected measurements. Optionally, each of the types of food is a different item on a menu comprising food items. 1. A system configured to rank types of food , comprising:sensors configured to take measurements of affective response of users; anda computer configured to:receive indications of times at which the users consumed the types of food;select for each type of food, based on the indications, measurements of at least five of the users taken up to four hours after consuming the type of food; andrank the types of food based on the selected measurements.2. The system of claim 1 , wherein when a first type of food from among the types of food is ranked higher than a second type of food from among the types of food claim 1 , on average claim 1 , the at least five of the users who consumed the first type of food had a more positive affective response than the at least five of the users who consumed the second type of food.3. The system of claim 1 , wherein each of the types of food is a different item on a menu comprising food items.4. The system of claim 1 , wherein the computer is further configured to: (i) receive information claim 1 , obtained from a financial account of a user from among the users claim 1 , indicating that the user purchased the type of food from among the types of food; and (ii) select claim 1 , based on the information claim 1 , which measurements of affective ...

SYSTEMS AND METHODS FOR ON-THE-FLY ALERT TRIGGERING CUSTOMIZATION

Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value. 1. A system for on-the-fly alert triggering customization , the system comprising: a machine-learning classifier configured to generate a risk prediction based on inputted features;', 'a user profile database identifying a user and containing metadata associated with the user; and', 'a customization database identifying one or several user attributes and a customization associated with each of those one or several user attributes, wherein the customization identifies a sub-set of potential features for use in generating a risk prediction;, 'memory comprisinga first user device configured to receive inputs from a user;a second user device configured to display information to a user; and receive electrical signals corresponding to user inputs to the first user device;', 'retrieve metadata associated with the user of the first user device;', 'identify a customization for the user of the first user device based on the retrieved metadata;', 'select a sub-set of input-based features from the received electrical signals according to the identified customization;', 'input the sub-set of the features into the machine-learning classifier; and', 'generate a customized risk prediction ...

Method and Device for Publishing Cross-Network User Behavioral Data

The present invention relates to summarizing cross-network user behavioral data. The summarizing cross-network user behavioral data may particularly include publishing the data to one or more data structures that become accessible to a server hosting an authorized domain when a user accesses the authorized domain. 1. (canceled)2. A computer-implemented method , implemented , at least in part , by a client computer , the method comprising:collecting, by the client computer, cross-network user behavior data related to a user's interactions on the client computer with a plurality of web sites;summarizing, by the client computer, the collected cross-network user behavior data on the client computer;publishing, by the client computer, the summarized cross-network user behavior data on the client computer to one or more memory structures on the client computer; andin response to the user accessing an authorized domain via the client computer via a network, providing, by the client computer, at least some of the summarized cross-network user behavior data in the one or more memory structures on the client computer to a server at the authorized domain.3. The method of claim 2 , wherein the summarizing includes claim 2 , for a plurality of subject categories claim 2 , one or more of:categorizing recency of the user visiting a web site on the client computer in at least some of the plurality of subject categories,categorizing user category involvement from the user visiting the website on the client computer in at least some of the subject categories by rolling up indicators of visits into categorical time segments,categorizing recency of selections of at least one banner advertisement on the client computer, orcategorizing user category involvement from user selections of the at least one banner advertisement on the client computer.4. The method of claim 3 , wherein the categorizing the user category involvement includes rolling up the indicators of visits into non- ...

METHODS AND SYSTEMS FOR SELECTING AND PRESENTING CONTENT BASED ON DYNAMICALLY IDENTIFYING MICROGENRES ASSOCIATED WITH THE CONTENT

A method of selecting and presenting content based on learned user preferences is provided. The method includes providing a content System including a set of content items organized by genre characterizing the content items, and wherein the set of content items contains microgenre metadata further characterizing the content items. The method also includes receiving search input from the user for identifying desired content items and, in response, presenting a subset of content items to the user. The method further includes receiving content item selection actions from the user and analyzing the microgenre metadata within the selected content items to learn the preferred microgenres of the user. The method includes, in response to receiving subsequent user search input, selecting and presenting content items in an order that portrays as relatively more relevant those content items containing microgenre metadata that more closely match the learned microgenre preferences of the user. 122-. (canceled)23. A method for providing media asset recommendations , the method comprising:retrieving, from a database, first metadata corresponding to a first media asset;retrieving, from the database, second metadata corresponding to a second media asset;identifying, using control circuitry, a third media asset associated with the first media asset based on the first metadata;identifying, using the control circuitry, a fourth media asset associated with the second media asset based on the second metadata;determining, based on the first metadata and the second metadata, whether a user request for the first media asset was received before a user request for the second media asset; andin response to determining that the user request for the first media asset was received before the user request for the second media asset, generating for display, using the control circuitry, a first media asset identifier corresponding to the third media asset and a second media asset identifier ...

USING CINEMATIC TECHNIQUES TO PRESENT DATA

The present invention extends to methods, systems, and computer program products for using cinematic techniques to present data. Embodiments of the invention can be used to infer and generate cinematic techniques or combinations thereof based on a model and user action. Cinematic techniques can be used to meet the data exploration and analysis requirements of a user. As such, embodiments of the invention permit users (including non-programmers) to employ cinematic techniques (possibly in combination with other techniques) to gain insights into their data and also convey appropriate emotional messages. 1. A method for using cinematic techniques to present data in accordance with an intended message , the method performed at a computer system including one or more processors , system memory , a data repository , and a display device , the method comprising:accessing a portion of data from the data repository;accessing user requirements for presenting the portion of data, the user requirements indicating a message to convey when presenting the portion of data;accessing visualization metadata which identifies at least one visual object or property to which the portion of data can be bound, the visualization metadata further identifying how the at least one visual object or property can be transformed;identifying a mapping of one or more elements of the portion of data to the at least one visual object or property;identifying, based at least on the indicated message and on the identified mapping of data elements to the at least one visual object or property, one or more cinematic techniques for presenting data to convey the indicated message; anddisplaying the portion of data at the display device using the identified one or more cinematic techniques to convey the indicated message.2. The method as recited in claim 1 , wherein the visualization metadata comprises constraints on values that the at least one visual object or property can take.3. The method as recited in ...

IDENTIFICATION AND QUANTIFICATION OF PREDATORY BEHAVIOR ACROSS COMMUNICATIONS SYSTEMS

Methods, systems, apparatuses, and computer program products are provided that enable the identification of predatory behavior in communications systems. A plurality of textual messages of a message repository is queried with a plurality of sets of key phrases to determine and score textual messages that include one or more of the key phrases of the sets. Each scored textual message includes a suspect, a potential victim, and a score. Each suspect-to-potential victim pair corresponds to a conversation that includes the scored textual messages between the suspect and potential victim of the pair. A plurality of conversation risk scores is determined based at least on the scored textual messages. Each conversation risk score indicates an estimate of a risk of predatory behavior occurring during the corresponding conversation. 1. A computing device , comprising:at least one processor circuit; and querying a plurality of textual messages of a message repository with a plurality of sets of key phrases to determine and score textual messages that include one or more of the key phrases of the sets, each scored textual message including a suspect, a potential victim, and a score, each suspect-to-potential victim pair corresponding to a conversation that includes the scored textual messages between the suspect and potential victim of the pair; and', 'determining a plurality of conversation risk scores based at least on the scored textual messages, each conversation risk score indicating an estimate of a risk of predatory behavior occurring during the corresponding conversation., 'a memory that stores program code configured to be executed by the at least one processor circuit to perform operations, the operations including2. The computing device of claim 1 , wherein said determining a plurality of conversation risk scores based at least on the scored textual messages comprises: selecting a highest score for the scored textual messages of the corresponding conversation for ...

SYSTEMS, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR IMPLEMENTING A FREE-TEXT SEARCH DATABASE

Systems, methods, and computer program products for implementing a dynamic free-text search database. First data is generated for the dynamic free-text search database that represents a first relationship including a first keyword, a first trip, and a first weight value. A plurality of free-text search requests are received, and a second weight value for the first relationship is calculated based on the free-text search requests. The second weight value differs from the first weight value. The first data is transformed into second by inserting the second weight value into the first data such that the first relationship includes the second weight value. 1. A method for implementing a dynamic free-text search database , the method comprising:generating, by at least one processor, first data for the dynamic free-text search database that represents a first relationship including a first keyword, a first trip, and a first weight value;receiving, by the at least one processor, a plurality of free-text search requests;calculating, by the at least one processor, a second weight value for the first relationship based on the free-text search requests, wherein the second weight value differs from the first weight value; andtransforming, by the at least one processor, the first data into second data by inserting the second weight value into the first data such that the first relationship includes the second weight value.2. The method of claim 1 , further comprising:establishing a connection for data communication between at least one data storage device and a travel proposal system that includes the at least one processor, wherein the at least one data storage device hosts the dynamic free-text search database; andtransmitting the first data from the pricing system to the at least one data storage device via the connection.3. The method of claim 1 , wherein the first trip comprises a destination location claim 1 , a point-of-sale claim 1 , and one or more contextual parameters ...

COMPUTER-IMPLEMENTED SYSTEMS AND METHODS FOR INTELLIGENTLY RETRIEVING, ANALYZING, AND SYNTHESIZING DATA FROM DATABASES

A computer extracts from contact records that each include a contact identifier, a group identifier for each group with which the contact has had an interaction, and interaction information that indicates a number of interactions and a timing of a most recent interaction. The contact data records are processed to generate a contact profile record for each contact including group metric values and a corresponding value for each group metric value based on an interaction history of groups the contact has interacted with. A set of contact profile records is stored in interaction analytics databases. The computer generates group profile records for groups that include metric values associated with the group and an interaction history. They are compared with at least thousands of the contact profile records to calculate group-contact compatibility factors. A compatibility parameter is generated and communicated for each of at least thousands of contacts based on the group-contact compatibility parameters. 1. A computer system comprising:one or more data processors coupled to one or more memories including one or more interaction analytics databases,the one or more data processors being configured to: a computer-readable contact identifier for one of the contacts,', 'a corresponding computer-readable group identifier for each group with which the contact has had one or more interactions, and', 'computer-readable interaction information that indicates a number of interactions and a timing of at least a most recent interaction between the contact and each group with which the contact has had one or more interactions;, 'automatically extract from one or more initial databases electronic contact data records associated with multiple contacts, each electronic contact data record having one or more data fields that includeautomatically process the electronic contact data records to generate an electronic contact profile data record for each contact using information from the ...

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM

There is provided an information processing apparatus, including an event information analyzing section which analyzes event information related to an event in which a person participates, a person image group analyzing section which analyzes, for the person participating in the event, a person image group including one or a plurality of person images including the person, and a profile estimation section which estimates a profile of the person participating in the event based on a result obtained by analyzing the person image group and a result obtained by analyzing the event information. 1. An information processing apparatus , comprising: 'receive image data from a client terminal of a user;', 'circuitry configured todetermine profile information of the user based on the image data;analyze event information related to an event in which the user participates and social information related to social media;update the profile information based on the event information and the social information; andcontrol a display of the profile information.2. The information processing apparatus according to claim 1 ,wherein the profile information of the user includes one or more profile items, andwherein the circuitry is further configured to calculate, for each of the one or more profile items, a certainty factor which indicates certainty of the each of the one or more profile items.3. The information processing apparatus according to claim 2 , wherein the circuitry is further configured to calculate in a manner that the certainty factor of the each of the one or more profile items estimated based on first event information that is manually input is higher than the certainty factor of the each of the one or more profile items estimated based on second event information and the certainty factor of the each of the one or more profile items estimated based on the image data.5. The information processing apparatus according to claim 1 ,wherein the circuitry is further configured to ...

Linked Network Presence Documents Associated with a Unique Member of a Membership-Based Organization

A system for providing a directory service for generating network presence documents may include a computer processor and memory having instructions stored thereon. These may instruct the processor to parse registration information of a member to obtain a set of keywords. Using the set of keywords, the network maybe searched for information about the member, and registration information may be created based on the information. A trusted network presence document may be generated to include at least a first portion of the registration information as read only content. A link may be created between a profile document and the trusted network presence document. The profile document may include at least a second portion of the registration information as customizable content customizable by the member. The document may then be published on the network. 1. A system for providing a directory service for generating network presence documents made available on a network , the system comprising:a computer processor and memory having instructions stored thereon for implementation by the computer processor to:receive registration information of a membership name by a member of a membership based organization;parse the registration information to obtain a set of keywords;search the network using the set of keywords for publically available information about the member;create member information based on information obtained from the search using the set of keywords;generate a trusted network presence document of the network presence documents to include at least a first portion of the registration information as read only content with respect to the member, such that the member is restricted from customizing the read only content;create a link between a profile document and the trusted network presence document of the network presence documents, the link configured for placement on at least one of the network presence documents such that the profile document and the trusted ...

SYSTEM, METHOD, COMPUTER PROGRAM AND DATA SIGNAL FOR THE PROVISION OF A PROFILE OF IDENTIFICATION

In one aspect, the invention provides a method for the provision of a profile, comprising the steps of receiving information relevant to an individual, formatting the information into a format suitable for use in an identification situation, and storing the information in the format. 1. A method for the provision of a profile of information relevant to the identification of an entity , comprising the steps of providing at least one item of identity information to an identifying authority , wherein the identifying authority collects biometric information from the entity and utilizes the identity information and biometric information to form a profile of information relevant to the identification of the entity.2. A method in accordance with claim 1 , wherein the at least one item of identity information is an identity document.3. A method in accordance with claim 2 , wherein the step of providing the at least one item of identity information includes the identity authority accessing an identity database to access the identity document.4. A method in accordance with claim 3 , wherein the step of providing the at least one item of identity information includes the step of independently verifying the at least one item of identity information.5. A method in accordance claim 1 , wherein the step of collecting the biometric information includes the further step of utilizing an algorithm to reduce the biometric information to a single biometric value.6. A method in accordance with claim 5 , wherein the step of collecting biometric information is iterated a plurality of times claim 5 , wherein each iteration of collected biometric information is reduced to the single value and combined with other single biometric values to form a collection of biometric values.7. A method in accordance with claim 1 , wherein at least two of the plurality of iterations of collecting biometric information is performed by at least two different hardware devices.8. A method in accordance with ...

System and method for optimizing promotion of a social event in a network environment

A method is provided in one example embodiment and includes determining a score for at least one parameter associated with an event and a user and applying to the score a filter associated with the at least one parameter to determine whether the score falls within a range defined by the filter. The method also includes displaying the event to the user if the score falls within the range defined by the filter and hiding the event from the user if the score falls outside of the range defined by the filter.

TOOLS AND TECHNIQUES FOR EXTRACTING KNOWLEDGE FROM UNSTRUCTURED DATA RETRIEVED FROM PERSONAL DATA SOURCES

A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data. 1. A database system for updating user profiles , comprising:a processor to:store user profile data in the user profiles;retrieve personal data from personal data sources;correlate the personal data with the user profile data to generate additional user profile data; andupdate the user profiles with the additional user profile data, wherein at least some of the user profiles are associated with different user roles for a same user.2. The database system of claim 1 , further comprising the processor to:retrieve unstructured data from different user applications; andcorrelate the unstructured data from the different user applications with the user profile data in the user profiles to generate at least some of the additional user profile data.3. The database system of claim 1 , further comprising the processor to generate new user profiles based on the correlation of the personal data with user profile data.4. The database system of claim 1 , wherein the user profile data comprises structured data and the personal data includes unstructured data.5. The database system of claim 1 , further comprising the processor to retrieve at least some of the ...

Tools and techniques for extracting knowledge from unstructured data retrieved from personal data sources

A system may include multiple personal data sources and a machine-implemented data extractor and correlator configured to retrieve personal data from at least one of the personal data sources. The data extractor and correlator may extract information from unstructured data within the retrieved personal data and correlate the extracted information with previously stored structured data to generate additional structured data. The system may also include a storage device configured to store the previously stored structured data and the additional structured data. A natural language query module may be configured to receive a natural language query from a user and provide a response to the natural language query based at least in part on one or both of the previously stored structured data and the additional structured data.

Personalized experience scores based on measurements of affective response

This disclosure describes systems, methods, and computer program products that may be used to provide crowd-based scores for experiences, which are computed based on measurements of affective response of multiple users who had the experiences. The measurements of affective response may be collected using a wide array of sensors that measure physiological signals and/or behavioral cues. Additionally, the scores may be personalized for a certain user based on similarities between a profile of the certain user and profiles of the multiple users. 1. A system configured to utilize profiles of users to compute personalized experience scores based on measurements of affective response of the users , comprising:a memory storing computer executable modules; anda processor configured to execute the computer executable modules; the computer executable modules comprising:a collection module configured to receive measurements of affective response of at least ten users; wherein each measurement of a user corresponds to an event in which the user has the experience;a personalization module configured to receive a profile of a certain user and profiles of the at least ten users, and to generate an output indicative of similarities between the profile of the certain user and the profiles of the at least ten users; anda scoring module configured to compute an experience score for the certain user based on the measurements and the output; wherein, for at least a certain first user and a certain second user, who have different profiles, the scoring module computes respective first and second experience scores that are different.2. The system of claim 1 , wherein a profile of a user comprises information that describes one or more of the following: an indication of an experience the user had claim 1 , a demographic characteristic of the user claim 1 , a genetic characteristic of the user claim 1 , a static attribute describing the body of the user claim 1 , a medical condition of the ...

AUTOMATED COMMENTARY FOR ONLINE CONTENT

Techniques for artificially generating commentary for online content including news items. In an aspect, a personification engine incorporates a machine learning model trained using corpus elements comprising an item of online content and relevant commentary. The personification engine is configured to generate relevant commentary when provided with an item of online content such as a news item. In a further aspect, a chatbot engine incorporates a model similarly trained using corpus element comprising a comment and a relevant response. The chatbot engine is configured to generate relevant responses to user comments in the context of a forum or comments section related to the item of online content. 1. A method comprising:retrieving a plurality of corpus elements, each corpus element comprising an item and a comment;using the retrieved plurality of corpus elements, training a model to generate an artificial comment for a given item; andusing the trained model, generating an initial comment for an input content item.2. The method of claim 1 , the retrieving the plurality of corpus elements further comprising retrieving only corpus elements meeting predetermined quality criteria.3. The method of claim 1 , wherein each item comprises a news article.4. The method of claim 3 , the training the model comprising training the model using only the headline of each news article in the plurality of corpus elements.51. The method of claim 3 , the training the model comprising training a recurrent neural network model (RNN).6. The method of claim 1 , further comprising:identifying a target user group to which the input content item is to be recommended;generating a notification to the target user group, the notification comprising the input news content item and the generated initial comment.7. The method of claim 6 , further comprising:assigning a category to each of the plurality of corpus elements, the training the model comprising training a separate model for each assigned ...

Time-Based Sentiment Normalization Based on Authors Personality Insight Data Points

An approach is provided that analyzes electronic documents, each of which was written by an author. Time-based personality profiles are retrieved corresponding to the author. A date of each of the electronic documents is compared to a set of dates corresponding to different personality insights of the author over time. The approach selects one of the author's personality insights based on the comparison. A sentiment score corresponding to each of the electronic documents is adjusted based on the selected personality insight that corresponds to each of the electronic documents. 1. A method implemented by an information handling system that includes a processor and a memory accessible by the processor , the method comprising:analyzing a plurality of electronic documents, each of the documents written by an author;retrieving one or more time-based personality profiles corresponding to the author;comparing a date of each of the plurality of electronic documents to a plurality of dates corresponding to different personality insights of the author over time;selecting one of the author's personality insights based on the comparison; andadjusting a sentiment score corresponding to each of the plurality of electronic documents based on the selected personality insight that corresponds to each of the electronic documents.2. The method of further comprising:generating the personality profiles of the author, wherein each of the personality profiles corresponds to a different time period selected from a plurality of time periods, wherein the generation of each of the personality profiles comprises:capturing a set of passages written by each of the authors during each of the time periods;performing an author modeling analysis of the set of passages, wherein the author modeling analysis identifies one or more personality traits of the author based on sentiment-based words found in the set of passages attributed to the author during each of the time periods; andclassifying each of ...

SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR A COGNITIVE MONITOR AND ASSISTANT

A cognitive assisting method, system, and computer program product, includes determining an intent of a first user from an identifiable attribute of content associated with an activity of the first user, building a first cognitive profile of the first user based on the intent of the first user and the identifiable attribute of the content, and detecting a similarity between the intent of the first user in the first cognitive profile and a characteristic of a second cognitive profile of a second user stored in a database including a plurality of cognitive profiles. 1. A computer-implemented cognitive assisting method , the method comprising:determining an intent of a first user from an identifiable attribute of content associated with the first user;building a first cognitive profile of the first user based on the intent of the first user and the identifiable attribute of the content; anddetecting a similarity between the intent of the first user in the first cognitive profile and a characteristic of a second cognitive profile of a second user stored in a database including a plurality of cognitive profiles.2. The computer-implemented method of claim 1 , wherein the user self-selects the content with which to build the first cognitive profile.3. The computer-implemented method of claim 1 , wherein the user selectively decides an activity for the determining to associate content with the activity.4. The computer-implemented method of claim 1 , wherein the detecting detects a match of a type of content between the first cognitive profile and the second cognitive profile.5. The computer-implemented method of claim 1 , further comprising continuously determining content associated with a new activity of the user to increase an amount of content for building the first cognitive profile.6. The computer-implemented method of claim 1 , further comprising displaying a result indicating which content of the first cognitive profile of the user is similar to the characteristic ...

IMPLEMENTING LOCALE MANAGEMENT ON PAAS: LOCALE REPLACEMENT RISK ANALYSIS

A method and apparatus are provided for implementing system locale management including locale replacement risk analysis in a computer system. A Locale Update Risk Analysis Agent (RAA) scans globalization API usages on each pair of locale and running application. The scanned API list of each running application is compared with predefined API locale sensitive weights, and a locale replacement risk index is calculated on each application under a certain locale. A living locale-object update decision is made based on the calculated locale replacement risk indexes. 1. An apparatus for implementing system locale management including locale replacement risk analysis in a computer system comprising:a processor,a Locale Update Risk Analysis Agent (RAA) tangibly embodied in a non-transitory machine readable medium used to implement locale replacement risk analysis;said processor using said Locale Update Risk Analysis Agent (RAA), scanning globalization API usages on each pair of locale and running applications; comparing the scanned API list with predefined API locale sensitive weights, and calculating a locale replacement risk index on each application under a certain locale; and making a living locale-object update decision based on the calculated locale replacement risk indexes.2. The apparatus as recited in includes a Living Locale-Object Update Profile (LLOU) claim 1 , and saving and updating the calculated locale replacement risk index into one or more living locale-object update profiles.3. The apparatus as recited in includes a Running Application Status File (RASF) claim 1 , and saving and updating the calculated locale replacement risk index into the running application status file.4. The apparatus as recited in includes a Locale-Object Management Daemon (LOMD) claim 1 , and invoking the locale object management daemon to make the living locale-object update decision based on the locale replacement risk indexes stored in a living locale-object update profile.5. ...

Systems and Methods for Detecting Spam

In one embodiment, a method includes a social-networking system receiving requests from client devices of a plurality of users to perform user actions. The system may determine that a first user action of the user actions performed by a first user of the plurality of users is undesirable. The system may access user information associated with the first user and action information associated with the first user action. A first signature associated with the first user may be generated based on the user information and the action information. The system may compare the first signature with signatures associated with user actions performed on the social-networking system to identify a set of matching user actions. The set of matching user actions may be labeled as being undesirable. A machine-learning model may be trained using information associated with the set of matching user actions. 1. A method , comprising:by a computing system, receiving requests from client devices of a plurality of users to perform user actions;by the computing system, determining that a first user action of the user actions performed by a first user of the plurality of users is undesirable; the request for performing the first user action;', 'a network communication protocol used for transmitting that request; and', 'one or more timestamps associated to the user action denoting a time over which the user action occurred;, 'by the computing system, accessing user information associated with the first user and action information associated with the first user action, the action information comprising information associated withby the computing system, generating a first signature associated with the first user based on the information associated with the first user and the action information associated with the first user action;by the computing system, comparing the first signature with signatures associated with a plurality of user actions performed by other users to identify a set of ...

IDENTIFYING RELEVANT CONTENT CONTAINED IN MESSAGE STREAMS THAT APPEAR TO BE IRRELEVANT

A first level of relevance, to at least one interest of a user, of content within a topic message within a message stream can be determined. Responsive to determining that the first level of relevance, to the at least one interest of the user, of the content within the topic message is below a threshold value, each of a plurality of reply messages within the message stream can be processed using natural language processing performed by a processor. For each of the reply messages, a respective second level of relevance of the reply message to the at least one interest of the user can be determined. For each of the reply messages for which the respective second level of relevance is equal to or above the threshold value, an alert can be presented to bring an attention of the user to the reply message. 120-. (canceled)21. A method , comprising:determining a first level of relevance, to at least one interest of a user, of content within a topic message within a message stream, wherein the topic message is an initial message in the message stream comprising the topic message and a plurality of reply messages, the message stream indicating parent/child relationships among the topic message and the plurality of reply messages; processing each of the plurality of reply messages within the message stream using natural language processing performed by a processor and determining, for each of the reply messages, a respective second level of relevance of the reply message to the at least one interest of the user; and', 'for each of the reply messages for which the respective second level of relevance is equal to or above the threshold value, presenting an alert to bring an attention of the user to the reply message., 'responsive to determining that the first level of relevance, to the at least one interest of the user, of the content within the topic message is below a threshold value22. The method of claim 21 , wherein presenting the alert to bring the attention of the user to ...

Method, computer program, and computer for classifying users of social media

A computer system and method to classify a plurality of users in a plurality of clusters in social media associating a text profile and text content with each user. The method comprises: generating a content feature vector for each of a portion of users on the basis of content associated with the portion of users; generating mapping the plurality of clusters, and the plurality of clusters and the portion of users, on the basis of the content feature vectors; generating a first profile feature vector for each of the plurality of clusters on the basis of the profiles associated with the portion of users mapped to each cluster; and classifying each of the other users excluding the portion of users in a plurality of clusters on the basis of the profiles associated with the other users and the first profile feature vectors.

GENERATING EXPLANATORY ELECTRONIC DOCUMENTS USING SEMANTIC EVALUATION

Implementations are directed to providing an explanatory electronic document with actions including providing a target subject profile based on user input and one or more ontologies, the target subject profile including associations describing a subject at respective degrees of specificity, providing a set of peer user profiles using semantic user profile association between the user profile and each peer user profile in a superset of peer user profiles, retrieving one or more peer subject profiles, each peer subject profile being associated with a peer user profile in the set of peer user profiles, and including associations describing a past subject experienced by a peer user, filtering at least one association from a peer subject profile based on data provided in a knowledge graph, and providing at least one explanatory text string associated with the subject based on at least one remaining association in the peer subject profile. 1. A computer-implemented method for providing an explanatory electronic document , the method being executed by one or more processors and comprising:receiving, by the one or more processors, input from a user, the input comprising data that is at least partially representative of a subject;providing, by the one or more processors, a target subject profile based on the user input and one or more computer-readable ontologies, the target subject profile comprising two or more associations describing the subject at respective degrees of specificity;providing, by the one or more processors, a set of peer user profiles based on a user profile and a superset of peer user profiles using semantic user profile association between the user profile and each peer user profile in the superset of peer user profiles;retrieving, by the one or more processors, one or more peer subject profiles from computer-readable memory, each peer subject profile being associated with a peer user profile in the set of peer user profiles, and comprising one or more ...

METHOD AND SYSTEM FOR VALIDATION OF AN ONLINE PROFILE

A method for validating user-submitted profile data includes: receiving, by a receiving device, profile data and a user identifier from a first entity, wherein the profile data and the user identifier are associated with a user and where the profile data includes a plurality of unverified data values; transmitting, by a transmitting device, at least the user identifier to a second entity; receiving, by the receiving device, a plurality of corresponding data values from the second entity; and validating, by a processing device, at least one unverified data value of the plurality of unverified data values based on a correspondence to a corresponding data value of the plurality of corresponding data values. 1. A method for validating user-submitted profile data , comprising:receiving, by a receiving device, profile data and a user identifier from a first entity, wherein the profile data and the user identifier are associated with a user and where the profile data includes a plurality of unverified data values;transmitting, by a transmitting device, at least the user identifier to a second entity;receiving, by the receiving device, a plurality of corresponding data values from the second entity; andvalidating, by a processing device, at least one unverified data value of the plurality of unverified data values based on a correspondence to a corresponding data value of the plurality of corresponding data values.2. The method of claim 1 , whereintransmitting the user identifier includes transmitting one or more data fields corresponding to one or more unverified data values of the plurality of unverified data values, andeach corresponding data value of the plurality of corresponding data values corresponds to the transmitted one or more data fields.3. The method of claim 1 , wherein the plurality of corresponding data values are verified data values.4. The method of claim 1 , further comprising:encrypting, by the processing device, the user identifier with a one-way ...

PROFILE COMPLETION SCORE

Techniques for tracking profile completeness among members of an online social networking system are described. According to various embodiments, profile completion score criteria information identifies a profile completion score weight value associated with each of a plurality of member profile fields available in member profiles of an online social networking service. A specific member profile associated with a specific member of the online social networking service is accessed, and one or more of the plurality of member profile fields that have been completed in the specific member profile are identified. Thereafter, the profile completion score weight values associated with the member profile fields that have been completed in the specific member profile are determined, based on the profile completion score criteria information. Based on the determined profile completion score weight values, a profile completion score is then generated for the specific member profile. 1. A method comprising:accessing, from one or more databases, profile completion score criteria information identifying a profile completion score weight value associated with each of a plurality of member profile fields available in member profiles of an online social networking service;accessing, from the one or more databases, a specific member profile associated with a specific member of the online social networking service;identifying, based on the accessed specific member profile, one or more of the plurality of member profile fields that have been completed in the specific member profile;determining, based on the accessed profile completion score criteria information, the profile completion score weight values associated with the member profile fields that have been completed in the specific member profile; andgenerating, using one or more hardware processors, based on the determined profile completion score weight values, a profile completion score for the specific member profile.2. The ...

System and method for personalizing and recommending content

Methods, systems, and apparatuses are described for personalizing and recommending content. Media or multimedia activity of users, or consumed media or multimedia content, is automatically detected or observed, and a temporal identifier associated with the activity is determined. A usage profile is created for the users based on the activity and the temporal identifier. The usage profile is stored and may be updated based on additional detections or observations. Recommendations for additional content are automatically performed based on the usage profile. Recommendations for additional content may be based on periodic content releases or activities, content that is part of a series, content comprising sequels, or additional content that is similar or associated with consumed content.

SUB-ACCOUNT MANAGEMENT

One or more computing devices, systems, and/or methods for sub-account management are provided. For example, a user may have a primary account with a service, such as a social network service, an email service, a bank service, etc. The user may create a sub-account connected/linked to the primary account. The primary account comprises and directly controls the sub-account. For example, the primary account can access content, sub-account settings, and/or sub-account activity of the sub-account from the primary account. The sub-account can be automatically disconnected from the primary account based upon a disconnect condition being satisfied. 1. A method of account management , the method comprising: displaying a primary account interface through a display of the computing device for a user associated with a primary account with a service;', 'responsive to receiving a create command through the primary account interface to create a sub-account connected to the primary account, displaying a sub-account creation interface through the primary account interface;', 'creating the sub-account connected to the primary account based upon input received through the sub-account creation interface, wherein the sub-account is part of the primary account and the primary account has control over the sub-account;', 'displaying sub-account settings of the sub-account through the primary account interface; and', 'responsive to receiving a value for a sub-account setting through the primary account interface, applying the value to the sub-account setting for the sub-account., 'executing, on a processor of a computing device, instructions that cause the computing device to perform operations, the operations comprising2. The method of claim 1 , wherein the operations comprise:receiving input specifying a disconnect condition through the sub-account creation interface, wherein the disconnect condition specifies that the sub-account is to be disconnected from the primary account upon ...

AUTOMATED APPLICATION ANALYTICS

An application analytics generation system employs data stored in a social networking system's social graph to automatically predict outcomes based on various observed attributes, and transmit these predictions to a social networking system's user interface, e.g., in a newsfeed, for an advertiser or application developer. These predictions correlate various attributes and/or actions to outcomes, e.g., in relation to advertisements or applications. 1. A method performed by a computing device having one or more processors and memories , comprising:receiving a collection of data, wherein the received collection of data includes at least a portion of a social graph, the social graph comprising a data structure representing entities, relationships between the entities, attributes associated with the entities, and events corresponding to actions performed on or by the entities;receiving, via an application program interface, a request for correlation data, the correlation data correlating the attributes and the actions with outcomes, wherein the outcomes are selected other attributes or actions;dividing a set of attributes and events not selected as outcomes into a set of dimensions;grouping the dimensions into two or more groups of dimensions;correlating the groups of dimensions with the outcomes;selecting at least one statistically significant correlation between one of the groups of dimensions and the outcomes; andcausing to be displayed in a user interface the selected at least one correlation.2. The method of claim 1 , wherein the selecting includes performing a t-test between the two or more groups of dimensions to select the at least one statistically significant correlation.3. The method of claim 1 , further comprising receiving from the user interface an indication of whether the displayed at least one correlation is useful.4. The method of claim 3 , further comprising using a machine learning algorithm to improve subsequent selections of selected correlations.5. ...

DEVICES AND METHODS FOR GENERATING, MAINTAINING, AND PROVIDING A COGNITIVE CAREER PROFILE AND ASSOCIATED CAREER DATA

A method for providing career data by a computer system is provided. The method obtains employee profile data to create an employee profile for an enterprise software application platform, wherein the employee profile data comprises at least qualifications, skills, competencies, and experience level of a particular employee, and wherein the employee profile is shared by one or more applications (apps) associated with the enterprise software application platform; obtains employer organizational data from an employer database associated with the enterprise software application platform, the employer organizational data comprising at least employee roles and employee projects associated with an employer; identifies action items for the particular employee, based on the employee profile data and the employer organizational data; and transmits the action items, the action items comprising recommendations for the particular employee. 1. A method for providing career data by a computer system comprising at least a processor and a system memory element , the method comprising:obtaining employee profile data to create an employee profile for an enterprise software application platform, by the processor, wherein the employee profile data comprises at least qualifications, skills, competencies, and experience level of a particular employee, and wherein the employee profile is shared by one or more applications (apps) associated with the enterprise software application platform;obtaining employer organizational data from an employer database associated with the enterprise software application platform, by the processor, the employer organizational data comprising at least employee roles and employee projects associated with an employer;identifying action items for the particular employee, by the processor, based on the employee profile data and the employer organizational data; andtransmitting the action items, by a communication device communicatively coupled to the processor, ...

SENDER-BASED RANKING OF PERSON PROFILES AND MULTI-PERSON AUTOMATIC SUGGESTIONS

Systems and methods for searching of information regarding persons or to provide assistance for completion during address input. In one embodiment, a method includes automatically generating profiles for persons identified in messages, such as outgoing emails. Based on how the addresses of the persons are used in outgoing messages, the relevancy scores of the addresses are determined. When a user is searching for information or typing an address, the profiles and the relevancy scores are used to identify and sort search results or suggestions for the completion of the address input. 120-. (canceled)21. A method , comprising:scanning, by a computing apparatus, a set of messages of a user to identify a plurality of addresses;identifying, by the computing apparatus, names of persons at the addresses to generate a plurality of profiles for the persons, each profile of the plurality of profiles comprising a name of a respective person, and at least one address for the respective person;determining that the user has entered a first person in an address field of a new message being composed by the user; andcomputing, by the computing apparatus, scores of the persons using data in the plurality of profiles to determine relevancy of the persons to the user, wherein the scores are based at least in part on the determining that the user entered the first person in the address field.22. The method of claim 21 , further comprising:identifying, by the computing apparatus, information used in the new message; andre-computing, by the computing apparatus, the scores of the persons based on the information.23. The method of claim 22 , wherein the information is a topic included in a subject line of the new message.24. The method of claim 22 , wherein the information is text included in a body of the new message.25. The method of claim 24 , wherein the re-computing the scores is further based on prior associations of text stored in the plurality of profiles.26. The method of claim 22 ...

METHOD AND APPARATUS FOR TRAINING A MACHINE LEARNING ALGORITHM (MLA) FOR GENERATING A CONTENT RECOMMENDATION IN A RECOMMENDATION SYSTEM AND METHOD AND APPARATUS FOR GENERATING THE RECOMMENDED CONTENT USING THE MLA

A method of training machine learning algorithm for selecting recommended content for a user of an electronic device is provided. The method is executable by a recommendation server accessible by the electronic device via a communication network, the recommendation server executing the machine learning algorithm, once trained. The method comprises: acquiring an indication of a plurality of user-item interactions, each user-item interaction being associated with a user and a digital item; based on the plurality of user-item interactions, generating a matrix of user-item relevance scores; factorizing the matrix of user-item relevance scores into a user matrix and an item matrix, said factorizing including: initializing the item matrix using item vectors, the item vectors having been generated such that digital items with similar content have similar item vectors, initializing the user matrix with user-vectors; iteratively optimizing of the user matrix and the item matrix; storing the optimized item matrix. 1. A method of training machine learning algorithm for selecting recommended content for a user of an electronic device , the method executable by a recommendation server accessible by the electronic device via a communication network , the recommendation server executing the machine learning algorithm , once trained; the method comprising:acquiring an indication of a plurality of user-item interactions, each user-item interaction being associated with a user and a digital item;based on the plurality of user-item interactions, generating a matrix of user-item relevance scores; initializing the item matrix using item vectors, the item vectors having been generated such that digital items with similar content have similar item vectors,', 'initializing the user matrix with user-vectors;, 'factorizing the matrix of user-item relevance scores into a user matrix and an item matrix, said factorizing includingiteratively optimizing of the user matrix and the item matrix; ...

SYSTEM AND METHOD FOR CLASSIFICATION OF MICROBLOG POSTS BASED ON IDENTIFICATION OF TOPICS

A method for assigning a topic to a collection of microblog posts may include, by an acquisition module, receiving from at least one messaging service server, a plurality of posts, wherein each of the plurality of posts comprise post content; by a generation module, analyzing the posts and extract, from at least one of the posts, a link with an address to an external document; and, by the acquisition module, accessing the external document that is associated with the address and fetch external content associated with the document. The method may also include by the generation module: analyzing the post content to identify at least one label for each post, for each post that includes a link, analyzing the external content to identify a topic, and using a topic modeling technique to generate a trained topic model comprising a plurality of topics and a plurality of associated words. 1. A method for assigning a topic to a collection of microblog posts , the method comprising:receiving from at least one messaging service server, a plurality of posts, wherein each of the plurality of posts comprise post content;analyzing the posts and extracting, from at least one of the posts, a link with an address to an external document;causing a communications hardware component to initiate a communication via a communications network that accesses the external document at an external server that is associated with the address and fetches external content associated with the document; and analyzing the post content to identify at least one label for each post,', 'for each post that includes a link, analyzing the external content to identify a topic, and', 'using a topic modeling technique to generate a trained topic model, wherein the trained topic model comprises, for each identified label, a plurality of topics and a plurality of words associated with each of the plurality of topics; and', 'saving the trained topic model to a computer-readable memory device., 'by a generation ...

USER RECOMMENDATION METHOD AND SYSTEM IN SNS COMMUNITY, AND COMPUTER STORAGE MEDIUM

The present invention relates to a user recommendation method and system in SNS community and a computer storage medium. The method includes following steps: obtaining an interaction record between a first user and a second user in a first community; generating an interaction frequency of the first user and the second user according to the interaction record; calculating familiarity of the first user and the second user according to the interaction frequency; recommending the second user whose familiarity with the first user exceeds a threshold to the first user in a second community. The method and system and computer storage medium calculate familiarity between users in other community, recommend other users to the user in current community according to familiarity, expand information sources used for determining which users are persons user may possibly know, thereby obtaining more persons user may possibly know and improving efficiency of expanding user relationship circle. 1. A user recommendation method for a system in a Social Networking Service (SNS) community , the method comprising: obtaining at least one interaction record of at least one relationship interaction in a first SNS community between a first user and a second user;', 'determining an interaction frequency according to a corresponding frequency of the at least one relationship interaction in the first SNS community between the first user and the second user;', 'determining a closeness of the first user and the second user according to information of a first user relationship chain established between the first user and users in the first SNS community, and information of a second user relationship chain established between the second user and users in the second SNS community;', 'determining a familiarity of the first user and the second user according to the determined interaction frequency in the first SNS community between the first user and the second user and the determined closeness of the ...

TECHNIQUES FOR AUTOMATICALLY ANALYZING A TRANSCRIPT AND PROVIDING INTERACTIVE FEEDBACK PERTAINING TO INTERACTIONS BETWEEN A USER AND OTHER PARTIES

Techniques are provided to allow a user to interact with a computer to automatically analyze a transcript and provide interactive feedback pertaining to interactions between the user and other parties. This may be accomplished by dividing the transcript into text sequences, such as sentences, and matching each text sequence against a set of rules that define patterns that relate text sequences to particular characteristic categories. These matches can be further scored and ranked to allow particular text sequences to be interactively displayed to the user in response to selection of a particular categorization. 1. A computerized method of interactively communicating with a user to generate automated feedback pertaining to the user's interactions with other parties , the method comprising:obtaining a plurality of text sequences provided in a text transcription, the text transcription based on a recording of an interaction; (a) a particular text sequence of the plurality of text sequences,', '(b) a particular category of the multiple predetermined categories, and', '(c) a particular rule which matched the particular text sequence;, 'matching each of the plurality of text sequences against a set of predetermined rules arranged across multiple predetermined categories to yield a set of matches, each rule specifying a respective set of text relationships that must be present in a text sequence to yield a match, each category pertaining to a particular characteristic of the interaction for which the rules in that category test to determine whether the sequence indicates the characteristic to which the category pertains, each match identifyingidentifying confidence scores for the set of matches from a database of confidence scores, each confidence score reflecting a confidence that the particular text sequence identified by its respective match actually possesses the characteristic to which the particular category identified by that match pertains;for each unique sequence/ ...

PHYSICAL ACTIVITY DATA MANAGEMENT

A system, method, and computer program product for managing physical activity data. In certain embodiments, managing physical activity data includes accessing, from a database communicatively connected with a server device, a set of stored user data indicating physical activity characteristics of a user. Managing physical activity data may include generating, using the server device and the set of stored user data, a physical activity profile that indicates a predicted physical activity deficiency for the user based on the set of stored user data, and determining a physical activity program from a database of a plurality of physical activity programs, the physical activity program including a digital image that depicts an exercise and instructional information for the exercise. Managing physical activity data may also include transmitting, via a network, a multimedia message service message including a portion of the physical activity program to a client device associated with the user. 1. A system for managing physical activity data , the system comprisinga server device and a client device, the client device associated with a user and communicatively connected with the server device via a network, the server device and the client device each including a processor and a computer readable storage medium, the computer readable storage medium of the server device including instructions executable by the processor of the server device to cause the server device to:access, from a database communicatively connected with the server device, a set of stored user data indicating physical activity characteristics of the user;generate, based on the set of stored user data, a physical activity profile that indicates a predicted physical activity deficiency for the user based on the set of stored user data;determine a physical activity program from a database of a plurality of physical activity programs, the physical activity program including a digital image that depicts an ...

COMPUTERIZED SYSTEM AND METHOD FOR INTEREST PROFILE GENERATION AND DIGITAL CONTENT DISSEMINATION BASED THEREFROM

Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework for compiling, updating and dynamically managing a confidence graph for a user that leads to generation of a scored interest profile for the user that content providers can utilize as a basis for disseminating their proprietary digital content. The disclosed confidence graph provides a scored interest profile for each user that is based on authenticated user data derived from an inbox of the user. The confidence graph is not only derived from authenticated data, but is also dynamic and evolves simultaneously with changing user interests. Thus, digital content is selected and transmitted to users based on the current, real-time digital data reflecting their current interests as reflected by their inbox activity. 1. A method comprising the steps of:identifying, via a computing device, an inbox of a user, said inbox comprising a set of messages associated with the user;parsing, via the computing device, each identified message in the set, and based on said parsing, identifying message data and metadata for each message and account information for said inbox;analyzing, via the computing device, the identified message data and metadata, and based on said analysis, mapping each identified message based on each message's data and metadata, said mapping providing information indicating types of messages within said set of messages;determining, via the computing device, metrics for each type of message, said metrics indicating a heuristic value representing each message type's presence in the user's inbox;determining, via the computing device, based on said metrics, a weight for each type of message, said weight determination comprising analyzing said account information and said metrics, and determining ...

HIERARCHICAL PROFILING INPUTS AND SELF-ADAPTIVE FRAUD DETECTION SYSTEM

Embodiments disclosed herein are related determining a risk score for one or more data transactions. Current data transactions that are associated with one or more current attributes are received. Stored data transactions associated with stored attributes are accessed. A plurality of the stored attributes are selected. A first sliding window and a second sliding window are selected. A duration of the second sliding window is longer than a duration of the first sliding window and encompasses the duration of first sliding window. Risk information for those stored data transactions that are associated with the plurality of attributes is determined. The risk information is determined during the duration of both the first and second sliding windows and is indicative of a level fraud that is occurring. The determined risk information and the current attributes are used to generate a risk score for the current data transactions. The current data transactions are approved or rejected based on the risk score. 1. A computing system configured to determine a risk score associated with one or more data transactions , the computing system comprising:at least one processor;a computer readable hardware storage device having stored thereon computer-executable instructions which, when executed by the at least one processor, configure the at least one processor to:receive one or more current data transactions, each current data transaction associated with one or more current attributes that provide information associated with the current data transaction;access one or more stored data transactions, each stored data transaction associated with one or more stored attributes that provide information associated with the stored data transaction;select a plurality of the one or more stored attributes;select a first sliding window and a second sliding window, wherein a duration of the second sliding window is longer than a duration of the first sliding window and encompasses the duration of ...

Selecting a stressor based on thermal measurements of the face

Described herein are systems and methods for selecting a stressor based on thermal measurements. In one embodiment, a system includes an inward-facing head-mounted thermal camera (CAM) and a computer. CAM takes thermal measurements of a region on a periorbital area (TH) of the user. The computer detects extents of stress based on TH, receives indications of potential stressors to which the user was exposed while THwere taken, and selects the stressor, from among the potential stressors, based on the indications and the extents. Optionally, during most of the time the user was affected by the stressor, the effect of the stressor, as manifested via changes to TH, was higher than the effects of most of the potential stressors. Optionally, thermal measurements of other regions on the face may also be utilized to detect the extents of stress. 1. A system configured to select a stressor , comprising:{'sub': 'ROI1', 'an inward-facing head-mounted thermal camera (CAM) configured to take thermal measurements of a region on a periorbital area (TH) of a user; and'}a computer configured to:{'sub': 'ROI1', 'detect extents of stress based on TH;'}{'sub': 'ROI1', 'receive indications of potential stressors to which the user was exposed while THwere taken; and'}select the stressor, from among the potential stressors, based on the indications and the extents.2. The system of claim 1 , wherein CAM is located less than 10 cm from the user's head claim 1 , and the region on the periorbital area is a region of the periorbital area of the right eye; and further comprising a second inward-facing head-mounted thermal camera (CAM2) located less than 10 cm from the user's head and configured to take thermal measurements of a region on the periorbital area of the left eye (TH); wherein the computer is further configured to detect the stress level also based on TH; and further comprising a frame configured to be worn on the user's head claim 1 , wherein each of CAM and CAM2 is physically ...

COGNITIVE APPOINTMENT SCHEDULING AND MANAGEMENT INTEGRATING IoT DATA

In an approach for managing appointments a computer receives a request for an appointment from a user. The computer identifies a history data for a type of appointment, wherein the history data provides information regarding one or more prior appointments associated with the user. The computer receives IoT data prior to the scheduled appointment associated with the user. The computer determines one or more available appointments within a schedule based on the received request, the identified history data, and the received IoT data. The computer schedules an appointment based on one of the one or more determined available appointments. 1. A method for managing appointments the method comprising:receiving, by one or more computer processors, a request for an appointment from a user;identifying, by one or more computer processors, a history data for a type of appointment, wherein the history data provides information regarding one or more prior appointments associated with the user;receiving, by one or more computer processors, IoT data prior to the scheduled appointment associated with the user;determining, by one or more computer processors, one or more available appointments within a schedule based on the received request, the identified history data, and the received IoT data; andscheduling, by one or more computer processors, an appointment based on one of the one or more determined available appointments.2. The method of claim 1 , further comprising:determining, by one or more computer processors, that the received IoT data does not add additional time to the scheduled appointment;calculating, by one or more computer processors, an underrun; anddetermining, by one or more computer processors, a change to the scheduled appointment for the user based on the calculated underrun.3. The method of claim 1 , further comprising:determining, by one or more computer processors, that the received IoT data adds additional time to the scheduled appointment;calculating, by one ...

TOPIC PROFILE QUERY CREATION

A topic profile may be generated based on several words/phrases. The topic profile may include social media content items such as a social media post from a variety of social media sources. The topic profile may be presented to a user via a user interface that displays the one or more included/excluded words/phrases that may form the basis of a query for the topic profile. The user interface may display one or more representative social media content items and/or a word cloud of words/phrases related to the query. A user may select one or more words/phrases in the word cloud and/or one or more social media content items to be included in and/or excluded from the topic profile. The implementations disclosed herein may allow rapid filtering of a potentially large group of content items from potentially disparate social media sources. 131-. (canceled)32. A method for creating a topic profile comprising:receiving a first search topic;identifying a first plurality of social posts associated with the first search topic, wherein the first plurality of social posts are a result of executing the first search topic;identifying, from among the first plurality of social posts, a first set of one or more related keywords, wherein each keyword in the first set is referenced in at least one social post from among the plurality of social posts;generating a data set based on the first search topic, wherein the data set comprises the first search topic, the first plurality of social posts, and the first set of one or more related keywords;analyzing at least a portion of the first plurality of social posts to generate at least one analysis; and a phrase cloud based on the data set, wherein the phrase cloud comprises the first search topic and the first set of one or more related keywords,', 'at least a portion of the first plurality of social posts, and', 'the at least one analysis., 'displaying a user interface comprising33. The method of claim 32 , wherein the at least one analysis ...

Poly-structured data analytics

Systems and methods that facilitate determining and predicting fraudulent or non-compliant behavior using poly-structured data analytics are discussed. An unstructured data steam comprising a set of emails can be received, and processed to reduce the noise, or non-relevant portions of the dataset. Structured data that includes contextual relevant information about the users can also be received, and the poly-structured data modeling system can identify unstructured variable and structured variables that are relevant for identifying and predicting non-compliant behavior. These unstructured and structured variables can then be modeled in order to identify communications that may contain non-compliant and/or fraudulent behavior.

CUSTOMIZING A USER BEHAVIOR ANALYTICS DEPLOYMENT

A deployment manager executing in a distributed computing environment generates a user behavior analytics (UBA) deployment to process structured event data. The deployment manager configures a streaming cluster to perform streaming processing on real-time data and configures a batch cluster to perform batch processing on aggregated data. A configuration manager executing in the distributed computing environment interoperates with the deployment manager to update the UBA deployment with user-provided code and configurations that define streaming and batch models, among other things. In this manner, the deployment manager provides a scalable UBA deployment that can be customized, via the configuration manager, by a user. 1. A computer-implemented method , comprising:obtaining a content package that defines a first behavior model and a first anomaly;updating a default container image based on the content package to generate a customized container image; anddeploying a first set of computing instances defined in a deployment configuration to execute the customized container image to detect occurrences of the first anomaly via the first behavior model.2. The computer-implemented method of claim 1 , wherein the default container image defines at least one pre-processing operation to be performed by a first containerized microservice included in a pre-processing cluster of microservices.3. The computer-implemented method of claim 1 , wherein the default container image defines an extract-transform-load operation to be performed with unstructured event data to generate structured event data.4. The computer-implemented method of claim 1 , wherein the customized container image defines at least one real-time operation to be performed by a first containerized microservice included in a streaming cluster of microservices that processes streaming claim 1 , real-time data.5. The computer-implemented method of claim 1 , wherein the customized container image claim 1 , upon ...

Identifying Multiple Mortgage Ready Properties

A system and computer-implemented method of identifying multiple mortgage ready properties using blockchain technology. The method includes receiving, via one or more processors, information from a customer approved for a mortgage about preferences for a real estate property and accessing a block of a blockchain to retrieve a plurality of mortgage ready real estate properties meeting one or more of the customer preferences information. The method further includes transmitting, via the one or more processors, the plurality of real estate properties meeting one or more of the customer preferences information to the customer. 1. A computer-implemented method of identifying multiple mortgage ready properties using a blockchain , each mortgage ready property associated with a property identification number (PIN) or a multiple listing service (MLS) number , the method comprising:maintaining a copy of a first blockchain associated with a customer, the first blockchain including one or more first blocks including first validated information about the first customer, the first validated information including an indication that the customer is approved for a mortgage;maintaining a copy of one or more second blockchains associated with a plurality of real estate properties, the second blockchain comprising second validated information about one or more transactions associated with the plurality of real estate properties;receiving, at one or more processors, information associated with the customer and relating to a customer preference;retrieving, from the first blockchain, the first validated information;based on the first validated information indicating the customer is approved for the mortgage, retrieving, from the copy of the one or more second blockchains, the second validated information for a plurality of mortgage ready real estate properties of the plurality of real estate properties meeting the customer preference;transmitting, via the one or more processors, at least ...

FILTERING INFORMATION USING TARGETED FILTERING SCHEMES

A method for filtering user information takes into account not only specific keywords in the user information, but also related user-characteristic data (e.g., user activity data), and allows targeted user characteristics to be determined from multiple aspects of user activities. In one aspect, the disclosed method adopts different filtering schemes for different types of targeted users to improve the recognition accuracy with respect to the target user information. The method determines a suitable filtering scheme using a correspondence relationship between the filtering scheme and keywords and user-characteristic data. The method uses modeling of sample users and multiple candidate filtering schemes to formulate targeted filtering scheme. An apparatus for implementing the method is also disclosed. 1. A method for filtering user information , the method comprising:obtaining keywords and user-characteristic data of a user;selecting a filtering scheme according to a correspondence relationship between the filtering scheme and the keywords and user-characteristic data, the filtering scheme being modeled to filter targeted users whose information has similar keywords and user-characteristic data; andfiltering the information of the user according to the selected filtering scheme.2. The method as recited in claim 1 , wherein the correspondence relationship between the filtering scheme and the keywords and user-characteristic data is configured using a procedure comprising:setting targeted keywords and user-characteristic data from a data collection of targeted users;generating user-characteristic parameters of a target user based on the targeted keywords and user-characteristic data;filtering out anomalies in the user-characteristic parameters;formulating the filtering scheme based on the filtered user-characteristic parameters; andestablishing a correspondence relationship between the filtering scheme and the targeted keywords and user-characteristic data.3. The method ...

Collection and Storage of a Personalized, Searchable, Unstructured Corpora

An approach is provided for utilizing unstructured corpora in a Question and Answer (QA) system. A question is received at the QA system. A private corpora is generated with the private corpora being associated with the user. The private corpora is generated from private data stores associated with the user as well as private data stores associated with other users. Access to the other user's private data sources is provided to the user by the other users. The system retrieves data responsive to the question from the private corpora. The responsive data is ranked based on its relevance to the question. Likely answers are identified based on the ranked responsive data and the likely answers are provided back to the user. 1. A method , in an information handling system comprising a processor and a memory , of utilizing unstructured corpora , the method comprising:receiving, from a first user, a question at a question answering (QA) system;generating a private corpora associated with the first user, wherein the private corpora is generated from a first set of one or more private data stores associated with a first user and a second set of one or more private data stores associated with a set of one or more second users, wherein access to the second set of private data stores is provided to the first user by the set of second users;retrieving responsive data to the question from the private corpora, wherein the responsive data is ranked based on a relevance to the question;identifying one or more likely answers based on the ranked responsive data; andproviding the one or more likely answers to the first user.2. The method of further comprising: receiving a set of access credentials from the first user and the set of second users, wherein the access credentials are used to access the first and second sets of private stores; and', 'utilizing the set of access credentials to access the first and second sets of private data stores during the generation of the private ...

PERSONALIZATION OF CONTENT SUGGESTIONS FOR DOCUMENT CREATION

The present disclosure relates to processing operations that generate and present personalized content suggestions to assist a user with document creation. Machine learning modeling may be trained and implemented to evolve pre-canned suggestions for document creation into highly personalized content suggestions, thereby improving the document creation process and user interface experience for users of applications/services that are utilized to create digital documents. As an example, signal data may be detected and analyzed, identifying a specific user's intent to create a digital document. Machine learning modeling may be implemented to evaluate different aspects of collected signal data and identify content from previously created documents, associated with a user account, that may be most relevant to the real-time document creation experience of the user. Personalized contextual suggestions may be presented to a user through a user interface. Examples described herein may be extensible across any type of application/service configured for document creation. 1. A method comprising:receiving, through a user interface of a productivity application or service, a request for document creation;evaluating signal data associated with the received request, wherein an evaluation of the signal data comprises identifying a document type for document creation and a user account associated with the request;executing document-specific analytics that applies a trained machine learning model to evaluate previously created documents that match the identified document type, wherein the previously created documents are documents associated with the user account;generating personalized content suggestions for the document creation, wherein the personalized content suggestions are personalized for the user account based on results from execution of the document-specific analytics; andpresenting, through the user interface, the personalized content suggestions.2. The method of claim 1 ...

SYSTEM, METHOD, AND RECORDING MEDIUM FOR WEB APPLICATION PROGRAMMING INTERFACE RECOMMENDATION WITH CONSUMER PROVIDED CONTENT

A method, system, and recording medium for web Application Programming Interface (API) recommendation, including given a plurality of service description document, gathering a bag of words from the document, generating a service-word matrix based on the bags of words describing the service descriptions, and given a query by a user, recommending a ranked list of services based on the service-word matrix. 1. A method for web Application Programming Interface (API) recommendation , comprising:given a plurality of service description documents, gathering a bag of words from each document;generating a service-word matrix based on the bags of words describing the service descriptions; andgiven a query by a user, recommending a ranked list of services based on the service-word matrix.2. The method of claim 1 , wherein the gathering gathers the bags of words from a collection of service description documents.3. The method of claim 1 , wherein service profiles are reconstructed using an author-topic model (ATM).4. The method of claim 2 , wherein service profiles are reconstructed using an author-topic model (ATM) claim 2 , services of the ATM comprising authors claim 2 , and documents of the ATM comprising a corpus of consumer-provided data.5. The method of claim 1 , wherein the query by the user comprises a bag of words.6. The method of claim 1 , wherein the service-word matrix is obtained from a Gibbs sampling process when generating a service-topic relation and a topic-word relation.7. The method of claim 1 , wherein the recommending calculates a frequency that a word describes a particular service based on the bags of words gathered by the gathering.8. The method of claim 7 , wherein the recommending calculates a score of the particular service by accumulating a contribution of each word in the query claim 7 , andwherein, if a user inputs the query with a word that matches the word having a highest frequency describing the particular service, the recommending determines ...

SELF-ADAPTIVE DISPLAY LAYOUT SYSTEM

A system for self-adaptive user reading preference learning and screen layout optimization for multi-media information is disclosed. The system is particular useful for devices with small display form factors, such as mobile devices. Data flow diagram (DFD) technique is used to represent a model of the screen layout for visualization. The system processes input information, which includes user information, device information, context information, and the news. The delivery news is filtered in the news processing system and presented to a user based the user's interest, whereas device information and context information, are also factors that take effect in the modeling. 1. A computer-implemented method performed by a computer system to provide screen layout based on user preference topics comprising:providing a plurality of N information documents to a user;providing a user profile of the user, wherein the user profile includes the user's preferences, wherein the user profile contains user information, context information and device information;pre-processing the information documents based on the user's profile to form N pre-processed information documents;calculating relevance of the N pre-processed information documents to determine similarity to the user profile;sorting the N pre-processed information documents in descending order of similarity;presenting the N pre-processed information documents based on descending order of similarity to the user;performing self-adaptive learning; andupdating the user profile based on the self-adaptive learning.2. The computer-implemented method of claim I wherein N information documents comprises N news documents.3. The computer-implemented method of claim I wherein N information documents comprise text type , image type , audio and video type and mixed media type or a combination thereof.4. The computer-implemented method of wherein pre-processing comprises:categorizing the information documents based on document type; andpre ...

EMOTIONAL AND PERSONALITY ANALYSIS OF CHARACTERS AND THEIR INTERRELATIONSHIPS

One embodiment provides a method, including: utilizing a processor to execute computer code that performs the steps of: receiving, at an information handling device, a dataset comprising dialogue information between a plurality of characters in a narrative; analyzing, using the processor, the dataset to identify dialogue patterns between the plurality of characters; determining, based upon the identified dialogue patterns, at least one relationship profile between at least a subset of the plurality of characters; and generating, based upon the at least one relationship profile, at least one graph comprising a plurality of edges and a plurality of nodes, wherein each of the plurality of nodes corresponds to one of the plurality of characters and wherein each of the plurality of edges corresponds to a relationship between two of the plurality of characters. Other aspects are described and claimed. 1. A method , comprising:utilizing a processor to execute computer code that performs the steps of:receiving, at an information handling device, a dataset comprising dialogue information between a plurality of characters in a narrative;analyzing, using the processor, the dataset to identify dialogue patterns between the plurality of characters;determining, based upon the identified dialogue patterns, at least one relationship profile between at least a subset of the plurality of characters; andgenerating, based upon the at least one relationship profile, at least one graph comprising a plurality of edges and a plurality of nodes, wherein each of the plurality of nodes corresponds to one of the plurality of characters and wherein each of the plurality of edges corresponds to a relationship between two of the plurality of characters and wherein each of the plurality of edges comprises at least one word-based relationship label positioned at a location near each edge of the plurality of edges, wherein the at least one word-based relationship label describes the relationship ...

System and Method for Cognitive Agent-Based Web Search Obfuscation

A method, system and a computer program product are provided for obscuring web searches by performing cognitive analysis on one or more user search inquiries from a first user to identify a user search behavior profile for the first user, and then generating one or more obfuscating search inquiries consistent with the user behavior search profile for the first user for issuance with the user search inquiries to impair the search engine from accurately characterizing search information related to the first user.

Process of Identifying Likely Lone Wolf Actors from Granular General or Targeted Populations

The present invention is a process of Identifying potential Lone Wolf Actors from granular general populations. This process utilizes evolving and emerging datasets and detects pertinent high-confidence patterns that emerge using mathematical analysis by persons and/or artificial intelligence pattern matching. This system attempts to be both extremely accurate and flexible which allows it to match emerging patterns with complete or incomplete data. The distillation of pattern matching produces continuously evolving algorithms or matrix attribulation tables which can be used to examine gathered or provided data sets to produce an output that provides insight into the matching of the individual to continuous markers which are highly correlating of lone wolf actors. This output data can be an algorithm, vector, or matrix which can be compared to others in the population. Statistical outliers can be examined from this using various mathematical and statistical methods and models. 1. The Process of Identifying Likely Lone Wolf Actors from General Population from the individual person level and not from a top down level looking at conversations , topical hubs , or similar using various weighting and correlative values which model control group of existing Lone Wolf Actors internet activities and profiles , and Public Information (henceforth Predictive Factors)2. The Process of rating members of targeted or general populations based on their likelihood to match the Predictive Factors in various forms including weighting outliers in a non-linear progression expressed in vector , equation , and/or matrix format Since before Sep. 11, 2001 various systems have been in place to attempt to detect and thwart terrorism. These existing systems use a top down approach, are triggered at certain events, and/or rely on communications. These existing systems look for communication to and from certain groups, or visit known topical hubs and attempt to gain increased resolution on ...

Host-device functionality supplementation based on portable-system resources

In one aspect, the technology includes a portable system, for providing add-on resources to a host device, such as a vehicle host device. The portable system includes a portable-system resource, which in various embodiments is at least partially a part of a portable-system data storage. The data storage includes at least one companion application that, when executed, provides, based on operation of the portable-system resource, host-device output for use at the host device, wherein the host-device output is output that the host device could not produce on its own or is supplemental to output that the host device can produce on its own. Example portable-system resources include a central-processing unit, a graphics processor, an application shop, an app-refresh program, security or hardware accelerators, and a speech recognition or three-dimensional rendering program. The technology in various embodiments also includes the host device described herein.

SYSTEM AND METHOD FOR UPDATING GEOGRAPHIC DATA

According to one aspect, embodiments of the invention provide a system and method for utilizing the effort expended by a user in responding to a CAPTCHA request to automatically transcribe text from images in order to verify, retrieve and/or update geographic data associated with geographic locations at which the images were recorded. 1. A method for updating geographic data associated with a geographic location , the method comprising:receiving, by one or more computing devices, at least one image recorded at the geographic location;identifying, by the one or more computing devices, an area within the at least one image, the area including text, wherein identifying an area includes identifying coodinates of a location of the area within the at least one image;transmitting, by the one or more computing devices, the area to a Completely Automated Public Turing test to tell Computer and Humans Apart (CAPTCHA) system;receiving, by the one or more computing devices, a set of transcription attempts from the CAPTCHA system;analyzing, by the one or more computing devices, the set of transcription attempts;generating, by the one or more computing devices, a transcription of the text based on the act of analyzing; andupdating, by the one or more computing devices, the geographic data associated with the geographic location based on the transcription of the text associated with the identified coordinates of the location of the area within the at least one image.2. (canceled)3. The method of claim 1 , wherein the act of updating geographic data includes updating at least one of a building name claim 1 , a business name claim 1 , and a building number associated with the geographic location based on the transcription of the text.4. The method of claim 1 , wherein the act of transmitting includes selectively transmitting the area to a CAPTCHA system based on the geographic location.5. The method of claim 1 , further comprising filtering the set of transcription attempts to ...

User Profiling Using Submitted Review Content

A computer-implemented method for generating a user profile of a user of an online platform, a computer-implemented method for providing a first user with targeted information and a computer-implemented method for providing a user of an online platform with targeted advertisements.

SYSTEM AND METHOD FOR RELIABLE EXTRACTION AND MAPPING OF DATA TO AND FROM CUSTOMER FORMS

A method and system generate customized financial document templates in a document preparation system, according to one embodiment. The method and system receive document data from a user corresponding to a document including a plurality of custom data fields in a custom template. The method and system map the custom data fields to system data fields from a relatively small subset of data fields selected from a system data field pool based on the characteristics of the user. The method and system generate a custom form template based on the document data and the mapping of the custom data fields to system data fields. 1. A computing system implemented method for generating a customized document template in a document preparation system , comprising:receiving by a document preparation system, user data related to a user;receiving, from the user, two or more custom user form templates, the two or more received custom user form templates having custom data fields that differ from system data fields used by the document preparation system;selecting, from a pool of document customization interfaces, a document customization interface based on the user data;prompting the user to select a document type;receiving document type selection data from the user indicating a document type selection made by the user;limiting particular system data fields available for mapping based on the particular selected document customization interface and one or more user characteristics;forming a set of available system data fields containing the limited particular system data fields;generating mapping data by mapping each custom data field to one of the set of available system data fields in accordance with the document customization interface and the document type; andgenerating custom form template data based on the mapping data and corresponding to a custom form template based on the user document data.2. The method of claim 1 , further comprising selecting the document customization ...

Digital credential field mapping

Techniques described herein relate to mapping of digital credential objects to various field data objects. For example, requests may be received by a digital credential platform server from digital credential template owner devices, issuer devices, and/or receiver devices. In response, the digital credential platform server may determine and transmit back mappings between the digital credentials and the selected field data objects. To generate mappings, digital credential objects may be tokenize and transformed into vectors within a multi-dimensional vector space. Individual field data objects stored within a high-performance text search engine also may be transformed into vectors within the same multi-dimensional vector space, and the distances between the vectors may be calculated to select a number of field data objects corresponding to the digital credential objects.

SYSTEMS AND METHODS FOR DISPARATE DATA SOURCE AGGREGATION, SELF-ADJUSTING DATA MODEL AND API

A disparate data source aggregation system and methods are provided which may pull or retrieve talent data or features from disparate data sources, automatically correlate the data across the different data sources, build a self-adjusting system database that captures the talent data from the disparate data sources, and lets users search, query and build model insights on the aggregated data of the system database without human intervention. A method for disparate data source aggregation may include: extracting a first feature set having a first extracted feature and a second feature set having a second extracted feature; determining, if the first extracted feature of the first feature set matches the second extracted feature of the second feature set; and aggregating the first feature set with the second feature set if the first extracted feature of the first feature set matches the second extracted feature of the second feature set. 1. A computer implemented method for disparate data source aggregation , the method comprising the steps of:extracting, via a computing device processor, a first feature set having a first extracted feature from a first data set of a first data source and a second feature set having a second extracted feature from a second data set of a second data source;determining, via a computing device processor, if the first extracted feature of the first feature set matches the second extracted feature of the second feature set; andaggregating, via a computing device processor, the first feature set with the second feature set if the first extracted feature of the first feature set matches the second extracted feature of the second feature set.2. The method of claim 1 , wherein the first extracted feature is not a unique identifier and the second extracted feature is not a unique identifier.3. The method of claim 1 , further comprising the step of storing claim 1 , via a computing device processor claim 1 , the aggregated first feature set and ...

Identifying Subject Matter Experts

Methods of identifying subject matter experts are disclosed. In one embodiment, the method includes receiving a search profile corresponding to a particular subject matter. Resources including content describing the particular subject matter are retrieved. One or more potential subject matter experts associated with the resources are identified. An expert score representing an estimated level of expertise for each potential subject matter expert is calculated. By retrieving one or more social media repositories, an impact rating for each potential subject matter expert is calculated with regard to the particular subject matter. The potential subject matter experts are subsequently ranked in dependence upon the expert score and in dependence of the impact rating assigned to a potential subject matter expert. The potential subject matter experts are eventually returned in the order of this ranking. 1. A computer-implemented method of identifying subject matter experts , a subject matter expert comprising a person adept in a particular subject matter , the method comprising:receiving a search profile corresponding to a particular subject matter;retrieving, in one or more information repositories, in dependence upon the search profile, one or more resources comprising content describing the particular subject matter;identifying one or more potential subject matter experts associated with the resources;calculating, for each potential subject matter expert, in dependence upon the particular subject matter, an expert score representing an estimated level of expertise;calculating, by retrieving one or more social media repositories, an impact rating for each potential subject matter expert with regard to the particular subject matter;ranking the potential subject matter experts in dependence upon the expert score and in dependence of the impact rating assigned to each potential subject matter expert; andreturning, as one or more search results, the potential subject matter ...

DATA RECORDS SELECTION

A computer-implemented method includes accessing a plurality of data records, each data record having a plurality of data fields. The method further includes analyzing values for one or more of the data fields for at least some of the plurality of data records and generating a profile of the plurality of data records based on the analyzing. The method further includes formulating at least one subsetting rule based on the profile; and selecting a subset of data records from the plurality of data records based on the at least one subsetting rule. 1. A computer-implemented method including:accessing a plurality of data records, each data record having a plurality of data fields;analyzing values for one or more of the data fields for at least some of the plurality of data records;generating a profile of the plurality of data records based on the analyzing;formulating at least one subsetting rule based on the profile; andselecting a subset of data records from the plurality of data records based on the at least one subsetting rule.2. The method of claim 1 , wherein formulating at least one subsetting rule includes identifying a first data field as a target data field based on a cardinality of the first data field.3. The method of claim 2 , wherein the target data field has a set of distinct values in the plurality of data records claim 2 , and wherein selecting a subset of data records includes selecting data records such that there is at least one data record in the selected subset that has each of the distinct values for the target data field.4. The method of claim 1 , wherein generating a profile includes classifying values for a first data field in the plurality of data records; andwherein formulating at least one subsetting rule includes identifying the first data field as a target data field based on the classifying.5. The method of claim 4 , wherein the target data field has a set of distinct values in the plurality of data records claim 4 , and wherein selecting ...

AUTOMATED DATA REPLICATION

An input from a current user selects, for display, a profile for another user. The current user's profile, and the selected profile are compared to identify a difference. A replication tag, corresponding to the difference, is displayed in the display for the selected profile. The information giving rise to the identified difference is replicated from the selected profile to the current user's profile, based on user actuation of the replication tag. 1. A computing system , comprising:a profile browser component that receives a user input and generates user profile visualization information indicative of a visualization of a selected user profile;a profile content comparison component that identifies a difference between a user profile corresponding to a current user and the selected user profile;a content tagging system that generates tag information indicative of a user actuatable visual element, in the visualization information, corresponding to the identified difference; anda replication system that replicates the identified difference, in the user profile corresponding to the current user, based on user actuation of the visual element.2. The computing system of and further comprising:a content identifier component that determines whether the identified difference is based on user-specific content.3. The computing system of wherein the content tagging system generates the visual element only if the identified difference is not based on user-specific content.4. The computing system of wherein the identified difference comprises a link to an entity and wherein the replication system comprises:a link replication component that replicates the link to the entity in the user profile corresponding to the current user, based on user actuation of the visual element.5. The computing system of wherein the replication system further comprises:an update component that updates other profile records based on replication of the identified difference in the user profile ...

METHOD AND SYSTEM FOR HYBRID INFORMATION QUERY

Method, system, and programs for hybrid information query. A request is first received from a user associated with a hybrid query. The hybrid query is expressed in accordance with an input in terms of one of a user, a feature, and a document, and a desired hybrid query result in terms of one of a user, a feature, and a document. A mapping is then determined between the input and the desired hybrid query result. A hybrid model is established based on hybrid information collected and associated with one or more users. The mapping is performed based on the hybrid model to obtain the desired hybrid query result based on the input. Eventually, the desired hybrid query result is provided as a response to the hybrid query. 1. A method implemented on at least one machine , each of which has at least one processor , storage , and a communication platform connected to a network for hybrid information query , comprising the steps of:receiving a request from a user associated with a hybrid query, wherein the hybrid query is expressed in accordance with an input in terms of one of a user, a feature, and a document, and a desired hybrid query result in terms of one of a user, a feature, and a document;determining a mapping between the input and the desired hybrid query result;retrieving a hybrid model established based on hybrid information collected and associated with one or more users;performing the mapping based on the hybrid model to obtain the desired hybrid query result based on the input; andproviding the desired hybrid query result as a response to the hybrid query.2. The method of claim 1 , wherein the hybrid information collected and associated with one or more users includes at least one of:static user information about the one or more users;static content information associated with usage of such content by the one or more users;activity information associated with online activities of the one or more users;dynamic user information related to a dynamic online context ...

IDENTIFYING RELEVANT CONTENT CONTAINED IN MESSAGE STREAMS THAT APPEAR TO BE IRRELEVANT

A first level of relevance, to at least one interest of a user, of content within a topic message within a message stream can be determined. Responsive to determining that the first level of relevance, to the at least one interest of the user, of the content within the topic message is below a threshold value, each of a plurality of other messages within the message stream can be processed using natural language processing performed by a processor. A respective second level of relevance, to the at least one interest of the user, of each the other messages can be determined. For each of the other messages for which the respective second level of relevance is equal to or above the threshold value, an alert can be presented to bring an attention of the user to the other message. 1. A method , comprising:determining a first level of relevance, to at least one interest of a user, of content within a topic message within a message stream; processing each of a plurality of other messages within the message stream using natural language processing performed by a processor and determining, for each of the other messages, a respective second level of relevance of the other message to the at least one interest of the user; and', 'for each of the other messages for which the respective second level of relevance is equal to or above the threshold value, presenting an alert to bring an attention of the user to the other message., 'responsive to determining that the first level of relevance, to the at least one interest of the user, of the content within the topic message is below a threshold value2. The method of claim 1 , wherein presenting the alert to bring the attention of the user to the other message comprises:indicating at least one portion of the other message that contains content that is of interest to the user.3. The method of claim 1 , wherein processing each of a plurality of other messages within the message stream using natural language performing semantic analysis ...

LANGUAGE PROFICIENCY INFERENCE SYSTEM

Disclosed are systems, methods, and non-transitory computer-readable media for a language proficiency inference system used to determine a user's proficiency in one or more languages. The language proficiency inference system determines both text-based probability scores and profile-based probability scores indicating a probability that a user speaks a language or set of languages. The text-based probability score is based on text associated with the first user, whereas the profile-based probability score is based profile data of the user. The language proficiency inference system determines aggregated probability scores based on the corresponding text-based and profile-based probability scores. For example, the aggregated probability score is the sum of the text and profile-based probability scores. The language proficiency inference system uses the aggregated scores to determine the languages in which the user is proficient. 1. A method comprising:determining a first text-based probability score for a first user, the first text-based probability score indicating a probability that the first user speaks a first language based on text associated with the first user;determining a second text-based probability score for the first user, the second text-based probability score indicating a probability that the first user speaks a second language based on the text associated with the first user, the second language being different than the first language;determining a first profile-based probability score for the first user, the first profile-based probability score indicating a probability that the first user speaks the first language based on user profile data of the first user;determining a second profile-based probability score for the first user, the second profile-based probability score indicating a probability that the first user speaks the second language based on the user profile data of the first user;determining a first aggregated probability score for the ...

CLASSIFICATION ENGINE FOR LEARNING PROPERTIES OF WORDS AND MULTI-WORD EXPRESSIONS

Method and apparatus for training and using a classifier for words. Embodiments include receiving a first plurality of sentences comprising a first word that is associated with a class and a second plurality of sentences comprising a second word that is not associated with the class. Embodiments include training a classifier using positive training data for the class that is based on the first plurality of sentences and negative training data for the class that is based on the second plurality of sentences. Embodiments include determining a measure of correlation between a third word and the class by using a sentence comprising the third word as an input to the classifier. Embodiments include using the measure of correlation to perform an action selected from the following list: selecting content to provide to a user; determining an automatic chat response; or filtering a set of content. 120-. (canceled)21. A method comprising:receiving a first plurality of sentences comprising a first word that is associated with a class and a second plurality of sentences comprising a second word that is not associated with the class;training a classifier using positive training data for the class that is based on the first plurality of sentences and negative training data for the class that is based on the second plurality of sentences;determining a measure of correlation between a third word and the class by using a sentence comprising the third word as an input to the classifier; and selecting content to provide to a user;', 'determining an automatic chat response; or', 'filtering a set of content., 'using the measure of correlation to perform an action selected from the following list22. The method of claim 21 , wherein training the classifier comprises identifying a context of the first word in the first plurality of sentences and a context of the second word in the second plurality of sentences.23. The method of claim 22 , wherein identifying the context of the first word in ...

EXTRACTION OF SEMANTIC RELATIONS USING DISTRIBUTIONAL RELATION DETECTION

According to an aspect, a pair of related entities that includes a first entity and a second entity is received. Distributional relations are detected between the first entity and the second entity. The detecting includes identifying two sets of entities in a corpus, the first set including the first entity and at least one other entity that is semantically similar to the first entity, and the second set including the second entity and at least one other entity that is semantically similar to the second entity. Semantic relations are detected between entities in the first set and entities in the second set. A relation classifier is trained using the pair of related entities and detected semantic relations. The relation classifier model is applied to a new pair of entities to determine a likelihood of a semantic relation between the entities in the new pair of entities. 112-. (canceled)13. A computer program product comprising:a tangible storage medium readable by a processing circuit and storing instructions for execution by the processing circuit to perform a method comprising:receiving a pair of related entities that includes a first entity and a second entity; identifying two sets of entities in a corpus, the first set including the first entity and at least one other entity that is semantically similar to the first entity, and the second set including the second entity and at least one other entity that is semantically similar to the second entity; and', 'detecting semantic relations between entities in the first set and entities in the second set;, 'detecting distributional relations between the first entity and the second entity, the detecting includingtraining a relation classifier model using the pair of related entities and the detected semantic relations; andapplying the relation classifier model to a new pair of entities to determine a likelihood of a semantic relation between the entities in the new pair of entities.14. The computer program product of ...

ELECTRONIC DOCUMENT SUPPLEMENTATION WITH ONLINE SOCIAL NETWORKING INFORMATION

A system and method includes receiving content of an electronic document during a time the content is being entered into an electronic document by a user by via an electronic document editor application. A content characteristic is extracted from the content and transmitted to an online data source. A content item related to the content characteristic is received from the online data source. A user interface presents the content item concurrently with the electronic document editor application. 1. A processor-implemented method , comprising:receiving content of an electronic document during a time the content is being entered into an electronic document by a user by via an electronic document editor application;extracting a content characteristic from the content;transmitting the content characteristic to an online data source;receiving from the online data source, a content item related to the content characteristic; andcausing the user interface to present the content item concurrently with the electronic document editor application.2. The method of claim 1 , further comprising iteratively repeating the receiving claim 1 , extracting claim 1 , determining claim 1 , causing claim 1 , transmitting claim 1 , and receiving operations as new content is entered in to the electronic document.3. The method of claim 2 , further comprising causing the user interface to display in a section of a graphical user interface (GUI) information provided by the electronic document editor application until the content item is received from the online data source claim 2 , whereupon the user interface is caused to display the content item in the section of the GUI.4. The method of claim 3 , wherein the online data source is configured to provide a graphical appearance of the section of the GUI and wherein causing the user interface to present the content item comprises causing the user interface to display the content item in the section of the GUI according to the graphical ...

SMART TOY INTERACTION USING IMAGE ANALYSIS

Techniques are disclosed for smart toy interaction based on using image analysis. Cognitive state data, including facial data, for an individual is obtained, using a first computing device. A cognitive state profile for the individual is learned, using a second computing device based on the cognitive state data that was obtained. Further cognitive state data is collected for the individual. The further cognitive state data is compared with the cognitive state profile. Stimuli are provided by a first smart toy to the individual based on the comparing. The further cognitive state data includes audio data for the individual. Voice data is collected. The voice data augments the cognitive state data. Cognitive state data for the individual is obtained using a second smart toy. The cognitive state profile is updated based on input from the first smart toy or the second smart toy. 1. A processor-implemented method for smart toy interaction comprising:obtaining, using a first computing device, cognitive state data for an individual including facial data for the individual;learning, using a second computing device, a cognitive state profile for the individual using the cognitive state data that was obtained;collecting further cognitive state data for the individual;comparing the further cognitive state data with the cognitive state profile; andproviding stimuli by a first smart toy to the individual based on the comparing.2. The method of wherein the facial data is obtained from a camera located outside of the first smart toy.3. The method of wherein the obtaining the cognitive state data is accomplished from a repository of cognitive state information for the individual.4. (canceled)5. The method of wherein the learning the cognitive state profile is based on image classifiers used with the cognitive state data.67-. (canceled)8. The method of further comprising deriving demographic data from the facial data.9. The method of wherein the demographic data that is derived is ...

Method and Device for Publishing Cross-Network User Behavioral Data

The present invention relates to summarizing cross-network user behavioral data. The summarizing cross-network user behavioral data may particularly include publishing the data to one or more data structures that become accessible to a server hosting an authorized domain when a user accesses the authorized domain.

Method of Improving NLP Processing of Real-World Forms via Element-Level Template Correlation

A method, system and computer-usable medium are disclosed for identifying unchecked criteria within a form. Natural Language Processing (NLP) is applied to unstructured data within a target form to identify elements of a form structure. Analytic analysis is then applied to the resulting form structure elements to identify a hierarchical structure and associated element placement. Implicit selections within the form are then identified by applying rules based upon other selections and their orientation to anchor terms to determine the completeness of the form, based upon aggregation of form elements. The form structure elements and the hierarchy metadata are then processed logically reassemble the form's hierarchy in flattened forms for multi-layer, sub-element anaphora resolution. 16-. (canceled)7. A system comprising:a processor;a data bus coupled to the processor; and applying natural language processing (NLP) to unstructured data within a form to identify elements of a form structure;', 'applying analytic analysis to the elements of the form structure and hierarchy metadata to identify a hierarchical structure and element placement in the hierarchical structure;', 'identifying implicit selections based on applying rules based on other selections and orientation to anchor terms to determine a completeness based upon aggregation of form elements; and', 'processing the form structure elements and the hierarchy metadata to logically re-assemble hierarchy in flattened forms for multi-layer sub-element anaphora resolution., 'a computer-usable medium embodying computer program code, the computer-usable medium being coupled to the data bus, the computer program code used for converting unstructured text within a form to resolve hierarchical references and comprising instructions executable by the processor and configured for8. The system of claim 7 , wherein the hierarchy metadata is captured from the form and identifies at least one member of the set of:a structure ...

GATHERING INFORMATION ON USER INTERACTIONS WITH NATURAL LANGUAGE PROCESSOR (NLP) ITEMS TO ORDER PRESENTATION OF NLP ITEMS IN DOCUMENTS

Provided are a computer program product, system, and method for providing information on detected user interactions with natural language processor (NLP) items to a server to use to determine an order in which to render NLP items in a user interface. Interactions with natural language processing (NLP) items in documents are detected. For each interaction with an NLP item of the NLP items in the documents, determination is made of a context attribute value for a context attribute related to the interaction with the NLP item. Then interaction information is generated indicating the NLP item and the determined context attribute value. The interaction information is sent to the server to include in user interaction information in a database. 1. A computer program product for gathering information on interaction with a document to send to a server , wherein the computer program product comprises a computer readable storage medium having program instructions embodied therewith , the program instructions executable by a processor to cause operations , the operations comprising:detecting interactions with natural language processing (NLP) items in documents; and determining a context attribute value for a context attribute related to the interaction with the NLP item;', 'generating interaction information indicating the NLP item and the determined context attribute value; and', 'sending the interaction information to the server to include in user interaction information in a database., 'for each interaction with an NLP item of the NLP items in the documents, performing2. The computer program product of claim 1 , wherein the detected interactions with the NLP items comprises at least one of entering text for the NLP items in the documents claim 1 , viewing the NLP items in the documents claim 1 , and selecting the NLP item without entering text for the NLP items in the documents.3. The computer program product of claim 1 , wherein the determining the context attribute value ...

FINDING PERSONAL MEANING IN UNSTRUCTURED USER DATA

An embodiment provides a method, including: collecting, using a user device, user object event data; collecting, using a user device, contextual data related to the user object event data; creating, using at least one processor, an association between the contextual data and the user object event data; forming, using a processor having access to a stored group of associations between contextual data and user object event data, a user profile based on the group of associations; and storing, in a memory, the user profile. Other aspects are described and claimed. 1. A method , comprising:collecting, using a user device, user object event data;collecting, using a user device, contextual data related to the user object event data;creating, using at least one processor, an association between the contextual data and the user object event data;forming, using a processor having access to a stored group of associations between contextual data and user object event data, a user profile based on the group of associations; andstoring, in a memory, the user profile.2. The method of claim 1 , wherein the user profile includes a pattern of user behavior with respect to user objects.3. The method of claim 1 , wherein the stored group of associations between contextual data and user object event data comprises associations gathered from a group of associated users.4. The method of claim 3 , wherein the group of associated users comprise users having similar patterns of behavior.5. The method of claim 3 , wherein the group of associated users comprises users having a cloud account association.6. The method of claim 1 , wherein the user profile comprises a description of user behavior that is refined in response to obtaining one or more new associations.7. The method of claim 6 , wherein the one or more new associations are derived from user interaction with a user object.8. The method of claim 6 , wherein the one or more new associations are derived from a group of users.9. The ...

DE-DUPING IDENTITIES USING NETWORK ANALYSIS AND BEHAVIORAL COMPARISONS

A processing device identifies comparison subjects comprising a first subject and a second subject. The processing device builds a first network of a first profile of the first subject and a second network of a second profile of the second subject, wherein the first network and the second network are multi-degree connections networks. The processing device the first network and second network to produce a similarity score. The processing device examining first-degree connections between the first network and the second network and accounting for centralities that rely on information about the first network and the second network. Responsive to the similarity score exceeding a similarity threshold, indicating the first profile and the second profile correspond to a common profile for the first subject and the second subject. 1. A method comprising:identifying, by a processing device, a plurality of comparison subjects comprising a first subject and a second subject;building, by the processing device, a first network of a first profile of the first subject and a second network of a second profile of the second subject, wherein the first network and the second network comprise multi-degree connection networks;comparing, by the processing device, the first network and the second network to produce a similarity score, wherein the comparing comprises examining first-degree connections between the first network and the second network and accounting for centralities that rely on information about the first network and the second network; andresponsive to the similarity score exceeding a similarity threshold, indicating the first profile and the second profile correspond to a common profile for the first subject and the second subject.2. The method of further comprising claim 1 , merging claim 1 , by the processing device claim 1 , the first profile and the second profile into the common profile for the first subject and the second subject.3. The method of claim 1 , wherein ...

Automated Framework For Personalized Learning From Heterogeneous Data Repositories

An automated framework for personalized learning from heterogeneous data repositories is presented. The framework leverages learning modules that are extracted by harvesting and annotating material from online and offline sources. The composed library of modules is then used as a basis for creating and delivering a personalized learning plan to a user who is interested in covering specific learning objectives. The framework introduces a new paradigm to the e-learning space by addressing the automatic collection and annotation of learning modules, the direct mapping of modules to learning objectives, and the continuous improvement of the entire framework by utilizing the feedback collected from the user's interaction with the delivered material. 1. A method for automatically developing and presenting educational content to a user , comprises:accessing a data collection having heterogeneous data in digital form;processing the data by annotating the data, producing annotations;identifying a set of topical objectives and expressing the topical objectives in digital form;automatically mapping the annotations to the topical objectives;identifying learning objectives for a person;automatically matching selected ones of the topical objectives to the learning objectives of the person to form at least one learning module;presenting the at least one learning module to the person.2. The method of claim 1 , wherein the steps of accessing claim 1 , processing and mapping are periodically automatically repeated to harvest new data that has been added to the data collection after a previous iteration.3. The method of claim 1 , wherein the step of processing is automatic via at least one of algorithms for text mining or natural language processing.4. The method of claim 3 , wherein meta-data is mined and used for annotating.5. The method of claim 1 , wherein the heterogeneous data includes at least one of a textbook claim 1 , a video claim 1 , a research paper claim 1 , an audio ...

SYSTEM AND METHOD FOR UNIFIED INMATE INFORMATION AND PROVISIONING

The present disclosure provides details of a system and method unified inmate information and activity tracking and monitoring. Such a system may collect and organize information received from different authorized facilities. The unified inmate information system connects information between different authorized facilities and utilizes the information to respond to requests that aid the course of an investigation. Responding to requests may include generating reports, searching the database for matching images or data obtained from a crime scene or other criminal activity, or detecting patterns of behavior that may aid in predicting potential crimes or associations between inmates. 1. A centralized analysis device for receiving and generating analysis of requests , the centralized analysis device comprising:a transceiver configured to communicate with a first communication network and a second communication network;a communication interface with a unified database configured to store an inmate profile received from a plurality of facilities; and receive first inmate information from a first facility through the first communication network, wherein the first inmate information includes at least a first type of data;', 'receive second inmate information from a second facility through the second communication network, wherein the second inmate information includes at least a second type of data;', 'update the at least one inmate profile in the unified database based on the first type of data and the second type of data;', 'receive a request from a third facility, wherein the request includes an inquiry data;', 'perform an analysis of the inmate profile in the unified database based on the inquiry data, wherein the analysis includes comparing the inmate profile with the inquiry data; and', 'generate a report based on the analysis., 'a processor configured to2. The centralized analysis device of claim 1 , wherein the first inmate information includes first biometric ...

PERFORMING ATTRIBUTION MODELING FOR ARBITRARY ANALYTICS PARAMETERS

The present disclosure relates to performing attribution modeling in real time using touchpoint data that correspond to arbitrary analytics parameters (e.g., a user-specified dimension) and are retrieved from a database using an attribution model. For example, in one or more embodiments, a system stores raw data in an analytics database that comprises an aggregator and a plurality of nodes. In particular, each node stores touchpoint data associated with a different user. Upon receiving a query, the system can, in real time, retrieve subsets of the touchpoint data that correspond to a user-specified dimension in accordance with an attribution model. The system then combines the subsets of touchpoint data using the aggregator and generates the digital attribution report using the combined data. 1. In a digital medium environment for collecting and analyzing analytics data about network communications , a method for generating digital attribution reports in real time comprising:performing a step for storing touchpoint data in an analytics database in a manner that supports query-time analytics dimension modeling;receiving a query to generate a digital attribution report for a user-specified dimension based on an attribution model; andperforming, in real time in response to the query, a step for generating the digital attribution report for the user-specified dimension using the attribution model based on touchpoint data stored in the analytics database.2. The method of claim 1 , wherein the user-specified dimension comprises a dimension other than distribution channels.3. The method of claim 2 , wherein the user-specified dimension comprises at least one of internal campaigns claim 2 , product finding methods claim 2 , internal search terms claim 2 , pages claim 2 , page types claim 2 , products claim 2 , product types claim 2 , or product brands.4. The method of claim 1 , wherein the attribution model comprises a user-specified attribution model.5. A non-transitory ...

SKILLS ENDORSEMENTS

Disclosed in some examples is a method comprising determining a first set of high ranking skills, the first set containing skills possessed by a member of the social networking service based upon the member's user profile; determining a second set of high ranking skills, the second set containing skills for a second member of the social networking service based on the second member's user profile; determining a third set of high ranking skills, the third set being the intersection between the first and second set of high ranking skills; and suggesting one or more of the skills in the third set of high ranking skills to the member for endorsement of the second member with respect to that skill. 1. A method comprising: selecting from a plurality of ranked skills corresponding to a first member profile of a social networking service at most a predetermined number of highest ranked skills as a first set of skills, the plurality of ranked skills quantifying a proficiency of a first member described by the first member profile in a given skill relative to other members of the social networking service;', 'selecting from a second plurality of ranked skills corresponding to a second member profile of a second member of the social networking service at most the predetermined number of highest ranked skills as a second set of skills, the second plurality of ranked skills quantifying a proficiency of the second member in a given skill relative to the other members of the social networking service;', 'selecting a particular skill that appears in both the first and second sets of skills; and', 'presenting a graphical user interface to the first member, the graphical user interface preconfigured for the first member to include an indication requesting, from the first member, an endorsement of the second member for the particular skill, the graphical user interface providing at least one selectable indication to the first member, the at least one selectable indication including a ...

PROFILE MANAGEMENT SYSTEM, INFORMATION DEVICE, PROFILE UPDATING METHOD, AND RECORDING MEDIUM STORING COMPUTER PROGRAMS

A profile management system managing a profile created for an individual person, includes: a document separation unit that separates documents specified as targets of processing by a user of a device handling document data, into event documents related to events scheduled to be held or having been already held and other documents; an importance determination unit that determines whether an event related to the event document separated by the document separation unit is important for the user, based on information recorded in a personal profile corresponding to the user and information recorded in an event profile corresponding to the event; and a personal profile edit unit that extracts words from an event document related to an event determined as important by the importance determination unit, out of the event documents separated by the document separation unit, and records the words as keywords in the personal profile corresponding to the user. 1. A profile management system managing a profile created for an individual person , comprising:a document separation unit that separates documents specified as targets of processing by a user of a device handling document data, into event documents related to events scheduled to be held or having been already held and other documents;an importance determination unit that determines whether an event related to the event document separated by the document separation unit is important for the user, based on information recorded in a personal profile corresponding to the user and information recorded in an event profile corresponding to the event; anda personal profile edit unit that extracts words from an event document related to an event determined as important by the importance determination unit, out of the event documents separated by the document separation unit, and records the words as keywords in the personal profile corresponding to the user.2. The profile management system according to claim 1 , wherein the ...

Methods And Systems For Facilitating Use Of Healthcare And Social Service Resources In A Community

Methods and systems are provided to facilitate the identification and connection of unique, relevant, and personalized healthcare and social service resources in a distributed user community in an automated manner to support and improve the health of communities. A method is provided that at least includes aggregating data about a plurality of community healthcare and social service resources, wherein resource profiles are generated for each of the plurality of community resources; generating user profiles for one or more community users, wherein the user profiles comprise indications of needs and preferences for the one or more community users in regard to healthcare and social services; receiving a query from one of the community users regarding a need for healthcare or social services; and generating a list of recommendations from the community resources based on the query and the user profile of the one of the community users. A corresponding system is also provided. 1. A method comprising:aggregating data about a plurality of community healthcare and social service resources, wherein resource profiles are generated for each of the plurality of community resources;generating user profiles for one or more community users, wherein the user profiles comprise indications of needs and preferences for the one or more community users in regard to healthcare and social services;receiving a query from one of the community users regarding a need for healthcare or social services; andgenerating a list of recommendations from the community resources based on the query and the user profile of the one of the community users.2. The method according to claim 1 , further comprising providing feedback regarding the community user interaction with the community resource.3. The method according to claim 1 , wherein generating the list of recommendations is further based on an analysis of similarities between a plurality of community users.4. The method according to claim 1 , ...

SYSTEM AND METHOD FOR READ-AHEAD ENHANCEMENTS

A method and system are provided for identifying type-ahead candidates. A method includes determining a context of past non-threaded emails of a user. The method further includes generating a context index associating the past non-threaded emails of the determined context with repeatable values within the past non-threaded emails. The method further includes receiving characters in a current email and determining a context of the current email. The method further includes determining matches between the current email and the past non-threaded in the context index. The method further includes identifying the corresponding repeatable values and matching the identified corresponding repeatable values with the received characters. The method further includes presenting the candidate words to the user for inclusion in the current email. 1. A system , comprising at least one component to:determine a context of a plurality of past non-threaded emails or documents of a user by analyzing the plurality of past non-threaded emails or documents for words or phrases, wherein the plurality of past non-threaded emails or documents are associated with a software application;generate a context index associating the plurality of the past non-threaded emails or documents of the determined context with corresponding repeatable values within the plurality of past non-threaded emails or documents;receive one or more characters in a current email or document of the software application;determine a context of the current email or document by analyzing the current email or document for words or phrases in the current email or document, wherein the context of the current email or document corresponds to the context of past non-threaded emails or documents;determine matches between the words or phrases and words or phrases of the plurality of documents of the context index;identify, based on the determined matches, one or more of the corresponding repeatable values;match the identified ...

PORTFOLIO CREATION SYSTEM

Provided is a portfolio creation system capable of accumulating activity records, summarizing the accumulated activity records as a portfolio, and preventing pretension of a third party. The portfolio creation system includes an approval storage table (group user table ) that stores an approval determined by an adviser who determines approval or disapproval of registration of a user, for each user, an authentication unit that prohibits use of the user who is not given the approval and allows use of an approved user who is given the approval, a user table () that stores information relating to the approved user, an activity table () that stores the activity record which is a record of an activity of the approved user, an activity record display unit that displays the activity record in a selectable form, and a portfolio creation unit that creates the portfolio based on the information relating to the approved user and the selected activity record. 1. A portfolio creation system that creates a portfolio from an activity record , comprising:an approval storage table that stores an approval determined by an adviser who determines approval or disapproval of registration of a user, for each user;an authentication unit that prohibits use of the user who is not given the approval and allows use of an approved user who is given the approval;a user table that stores information relating to the approved user;an activity table that stores the activity record which is a record of an activity of the approved user;an activity record display unit that displays the activity record in a selectable form; anda portfolio creation unit that creates the portfolio based on the information relating to the approved user and the selected activity record.2. The portfolio creation system according to claim 1 , further comprising:an activity evaluation table that stores an evaluation of a different user with respect to the activity record,wherein the activity record display unit displays the ...

Isssaphact person search module

After the database is built within the app, as more people find out about the app and as the database gets more input, the app will be more and more interesting to the users who access the app to search for a person. The suspense and the need to want to know how many other people know this person will be very powerful.

AUTOMATIC EVENT PROMOTION SYSTEM

Embodiments include a platform and/or application configured to select an event on a first electronic site using a source device, and integrate with a presentation of the event a selector for a micropromotion application. An invitation to the event is automatically generated at the source device in response to selection of the selector. Invitees are added to the invitation from at least one of a social media application and a contact application coupled to the source device. The invitation is configured to include a reply link, and the reply link is configured to generate a reply to the source device. The reply link is configured to generate, via one or more third party platforms, presentation of service offers at the source device and invitee devices of the invitees. The service offers include offers of services of the event provider and services related to the event. 1. A method comprising:selecting an event on a first electronic site using a source device and integrating with a presentation of the event a selector for a micropromotion application;automatically generating at the source device an invitation to the event in response to selection of the selector;adding invitees to the invitation from at least one of a social media application and a contact application coupled to the source device;configuring the invitation to include a reply link, wherein the reply link is configured to generate a reply to the source device, wherein the reply link is configured to generate, via one or more third party platforms, presentation of service offers at the source device and invitee devices of the invitees, wherein the service offers include offers of services of the event provider and services related to the event.2. A system comprising:a processor coupled to a memory device including a micropromotion application, wherein the processor is configured to:select an event on a first electronic site using a source device and integrating with a presentation of the event a ...

RAPID ACCOUNT REGISTRATION WITH AUTOFILL AND FACIAL RECOGNITION

A user may apply for an account on an account registration page. The account issuer may receive a phone number of a mobile device used to apply for the account. The account issuer may transmit the phone number to a carrier integration server which may obtain user information from the wireless carrier for the mobile device. The account issuer may autofill fields on the account registration page with the user information. The user may upload a photograph of the user and an identification card. The account issuer may perform facial recognition to verify the identity of the user. 1. A method comprising:receiving, by a computer-based system and from a mobile device, a phone number of the mobile device over a cellular network operated by a wireless carrier;transmitting, by the computer-based system, the phone number and a request for user information to a carrier integration server;receiving, by the computer-based system, the user information from the carrier integration server;autofilling, by the computer-based system, a field in an account registration page with the user information;receiving, by the computer-based system, a photograph from the mobile device;performing, by the computer-based system, facial recognition on the photograph;determining, by the computer-based system and based on the facial recognition, that a user in the photograph is associated with the user information; andcreating, by the computer-based system, an account for the user.2. The method of claim 1 , wherein the photograph comprises a face of the user and an identification card of the user.3. The method of claim 2 , wherein the performing facial recognition comprises determining that the user and a picture on the identification card are the same person.4. The method of claim 1 , wherein the carrier integration server requests the user information from the wireless carrier claim 1 , and wherein the wireless carrier transmits the user information to the carrier integration server.5. The method of ...

System, Method, and Computer Program Product for Determining Category Alignment of an Account

Provided is a computer-implemented method for determining a merchant category alignment of an account. The method may include comparing at least one parameter associated with transaction data for each user of a plurality of users; segmenting the plurality of users into at least one group of users based on a similarity of the at least one parameter between each user, generating a merchant category similarity matrix for the at least one group of users based on the transaction data for each user in the at least one group, generating an account category matrix based on the transaction data, generating one or more recommendations of an offer associated with the second merchant category, and communicating the one or more recommendations of an offer associated with the second merchant category. A system and computer program product are also disclosed. 1. A method for determining a merchant category alignment of an account comprising:receiving, with at least one processor, transaction data associated with a plurality of payment transactions involving a plurality of users;comparing, with at least one processor, at least one parameter associated with the transaction data for each user of the plurality of users;segmenting, with at least one processor, the plurality of users into at least one group of users based on a similarity of the at least one parameter between each user of the at least one group of users;generating, with at least one processor, a merchant category similarity matrix for the at least one group of users based on the transaction data for each user in the at least one group, the merchant category similarity matrix comprising a plurality of merchant category similarity scores for the at least one group of users in each merchant category of a plurality of merchant categories, wherein the merchant category similarity scores are based on a determination of how likely each user of the at least one group of users is to conduct a payment transaction in a merchant ...

Systems and methods for multi-protocol, multi-format universal searching

This disclosure relates to systems, methods, and computer readable media for performing multi-format, multi-protocol personalized searching in a manner that is most beneficial for the individual user. Personalized searching can be achieved by obtaining a plurality of data objects for a first user. The data objects can exist in a wide variety of formats and can be received via a number of protocols. One or more message objects can be created for each of the data objects, according to a standardized format and stored. The universal message objects can be indexed in a manner that is personal to the user, and in accordance with one or more parameters that can be updated on an ongoing or periodic basis, in accordance with the actions of the user, or any combination thereof.

SCHEDULER RESPONSIVE TO PERSONALITY PROFILE

A calendar scheduler that automatically schedules future task appointments by correlating task attributes to user personality traits. A morningness trait or an eveningness trait is selected for application to a user as a function of personality trait data of the user. A main task verb of an appointment request is mapped to a matching verb associated with one of a plurality of cognitive domain taxonomy levels, wherein the cognitive domain taxonomy levels have different complexity values and are each associated with different matching verbs. An open slot within an electronic calendar is selected for scheduling the appointment request as a function of the complexity value of the cognitive domain taxonomy level associated with a verb mapped to the main task verb, a correlation of workplace co-worker occupancy to a preference of the user, and to a time within a timeframe of the selected morningness or eveningness trait. 1. A computer-implemented method for a calendar scheduler that automatically schedules a future task appointment by correlating task attributes to user personality traits , the method comprising executing on a computer processor the steps of:selecting one of a morningness trait and an eveningness trait for application to a user as a function of personality trait data for the user, wherein selection of the eveningness trait is responsive to an indication in the personality trait data that the user prefers to perform complex tasks at times other than during morning times;mapping a main task verb of an appointment request to a matching verb that is associated with one of a plurality of cognitive domain taxonomy levels, wherein the cognitive domain taxonomy levels have different complexity values relative to each other, and wherein each of the cognitive domain taxonomy levels is associated with different verbs for matching to the main task verb; andin response to the complexity value of the cognitive domain taxonomy level associated with the matching verb ...