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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 15. Отображено 11.
21-01-2021 дата публикации

Generating Metadata for Image-Based Querying

Номер: US20210019343A1
Автор: Ayushi Dalmia, Raghavendra Singh, Sachindra Joshi, Vikas C. Raykar
Принадлежит: International Business Machines Corp

Methods, systems, and computer program products for generating metadata for image-based querying are provided herein. A computer-implemented method includes processing a query image against a database by applying a deep learning visual model to the query image and images contained within the database; retrieving a set of multiple images from the database based on the processing; identifying subsets of images among the set of multiple images by analyzing metadata attribute values of the set of multiple images and nearest neighbor distance values between the query image and the multiple images in the set; determining one or more items of metadata attributable to the query image by processing metadata of the subsets of images; and outputting, to a user, the items of metadata in response to the query image.

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Номер записи: 1
21-01-2021 дата публикации

Generating Search Determinations for Assortment Planning Using Visual Sketches

Номер: US20210019579A1
Автор: Bansal Abhishek, Dalmia Ayushi, Raykar Vikas C., Singh Raghavendra
Принадлежит:

Methods, systems, and computer program products for generating search determinations for assortment planning and buying using visual sketches are provided herein. A computer-implemented method includes processing a query image by identifying one or more visual features in the query image and applying at least one nearest neighbor algorithm to the one or more identified visual features; identifying, from one or more databases, multiple images based at least in part on the processing; generating a result set by applying one or more smoothing algorithms to the multiple identified images; generating at least one sketch based at least in part on the result set; and outputting the at least one generated sketch to one or more users via a user interface. 1. A computer-implemented method , the method comprising steps of:processing a query image by (i) identifying one or more visual features in the query image and (ii) applying at least one nearest neighbor algorithm to the one or more identified visual features;identifying, from one or more databases, multiple images based at least in part on said processing;generating a result set by applying one or more smoothing algorithms to the multiple identified images;generating at least one sketch, based at least in part on the result set; andoutputting the at least one generated sketch to one or more users via a user interface;wherein the steps are carried out by at least one computing device.2. The computer-implemented method of claim 1 , wherein said identifying one or more visual features in the query image comprises applying one or more models to the query image.3. The computer-implemented method of claim 2 , wherein the one or more models comprise one or more convolutional neural networks.4. The computer-implemented method of claim 2 , wherein the one or more models comprise one or more residual neural networks.5. The computer-implemented method of claim 1 , wherein the one or more databases comprise one or more product ...

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Номер записи: 2
03-03-2022 дата публикации

Reasoning based natural language interpretation

Номер: US20220067102A1
Автор: Ayushi Dalmia, Jaydeep Sen, Karthik Sankaranarayanan, Sumit Bhatia
Принадлежит: International Business Machines Corp

A natural language processing approach for generating domain specific reasoning-based meaning representations. The approach may include receiving a user query via structured or unstructured data. The approach may also include generating a structured query from the user query using domain specific ontology and universal facts. Further, the approach many include the structured query may be analyzed to determine if the structured query has been assigned consistent concepts, properties and actions. Additionally, the approach may involve correcting the structured query if it is determined the structured query is inconsistent with the domain ontology and the universal facts.

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Номер записи: 3
09-05-2019 дата публикации

IDENTIFICATION OF APPAREL BASED ON USER CHARACTERISTICS

Номер: US20190139120A1
Автор: Agrawal Priyanka, Dalmia Ayushi, Joshi Sachindra, Raykar Vikas Chandrakant, Singh Raghavendra
Принадлежит:

One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: obtaining at least one image of a user of a social medium from one or more posts on the social medium that are shared by the user; identifying a characteristic of the user by comparing characteristics of the at least one image of the user to other persons, wherein the other persons are clustered into characteristic groups based upon one or more images of each of the other persons; determining attributes of apparel included in the images of each of the other persons by parsing the one or more images and any text associated with the images of each of the other persons; and generating apparel style rules for a particular characteristic by associating the determined attributes of the apparel with the identified characteristic. Other aspects are described and claimed. 1. A method , comprising:utilizing at least one processor to execute computer code that performs the steps of:obtaining at least one image of a user of a social medium from one or more posts on the social medium that are shared by the user;identifying a characteristic of the user by comparing characteristics of the at least one image of the user to other persons, wherein the other persons are clustered into characteristic groups based upon one or more images of each of the other persons;determining attributes of apparel included in the images of each of the other persons by parsing the one or more images and any text associated with the images of each of the other persons; andgenerating apparel style rules for a particular characteristic by associating the determined attributes of the apparel with the identified characteristic.2. The method of claim 1 , wherein the obtaining at least one image comprises accessing a social media account of the user.3. The method of claim 1 , comprising determining the popularity of an apparel type by accessing social signals associated with each ...

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Номер записи: 4
27-06-2019 дата публикации

Determining apparel-based recommendations for a user

Номер: US20190197058A1
Автор: Amrita Saha, Ayushi Dalmia, Pankaj Satyanarayan Dayama, Priyanka Agrawal, Srikanth Govindaraj Tamilselvam, Vikas Raykar
Принадлежит: International Business Machines Corp

Aspects of the present invention disclose a method, computer program product, and system for recommending an apparel product is provided. The method for recommending an apparel product may include one or more processors identifying a user selection of an apparel product, wherein the apparel product includes information associated with retail websites. The method further includes one or more processors categorizing the apparel product into one or more groupings based upon user preferences, wherein the grouping is based on available versions of the apparel product. The method further includes one or more processors determining current apparel preference information corresponding to the user based on user preferences, fitness application data, health monitoring application data, and user-provided measurements. The method further includes one or more processors determining a recommended garment of the identified user-selected apparel product based on mapping the determined apparel preference information to product specifications of the identified user-selected apparel product.

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Номер записи: 5
01-10-2020 дата публикации

Visually Guided Query Processing

Номер: US20200311480A1
Автор: Amith Singhee, Ashok Pon Kumar Sree Prakash, Ayushi Dalmia, Digbalay Bose, Raghavendra Singh, Sumanta MUKHERJEE, Vikas C. Raykar
Принадлежит: International Business Machines Corp

A neural network based search system is provided. A first digital image is analyzed by a user device. A targeted object in the first digital image is determined based, at least in part, on (i) the characteristics of the first digital image and (ii) the features of the targeted object. A vector array is generated based, at least in part, on (i) the first digital image and (ii) the targeted object. The vector array is analyzed by the user device. The targeted object is determined based, at least in part, by the vector array. A plurality of digital images is identified based, at least in part, on the similarity of the plurality of digital images and (i) the first digital image and (ii) the targeted object responsive to identifying a plurality of digital images, a query processing is generated. The query map is generated on a user device.

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Номер записи: 6
17-10-2019 дата публикации

System for Bidding on Multi-Modal Sub-Spaces for E-Commerce Searches

Номер: US20190318406A1
Автор: Ayushi Dalmia, Jaikrishnan Hari, Priyanka Agrawal, Raghavendra Singh, Sachindra Joshi, Vikas C. Raykar
Принадлежит: International Business Machines Corp

Methods, systems, and computer program products in connection with a system for bidding on multi-modal sub-spaces for e-commerce searches is provided herein. A computer-implemented method includes representing, in an embedding space affiliated with at least one electronic commerce website: (i) images related to one or more bids and (ii) items of text related to the one or more bids, the images and the items of text both coming from one or more bidding entities. Such a method also includes mapping a query to the embedding space based on a comparison of features of the query to (i) the images and (ii) the items of text. Further, such a method additionally includes selecting at least one of the one or more bidding entities based on the mapping, and outputting, to at least one user in response to the query, search results associated with the at least one selected bidding entity.

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Номер записи: 7
12-10-2023 дата публикации

System and method for intelligent generation of privilege logs

Номер: US20230325601A1
Автор: Ayushi Dalmia, Jasneet Singh Sabharwal, Somya Anand
Принадлежит: Relativity Oda LLC

Systems, methods, and computer readable media for intelligent generation of a privilege log are provided. These techniques may include accessing a corpus of documents and applying an unsupervised machine learning model thereto to identify a plurality of topics. Using the identified topics, the techniques include associating a plurality of categories with the identified topics and executing a classifier training model to train classifiers corresponding to the categories. These classifiers are then applied to the corpus of documents to label the documents. Subsequently, the techniques automatically generate a privilege log based upon the labels applied to the documents by the classifiers.

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Номер записи: 8
28-06-2023 дата публикации

Reasoning based natural language interpretation

Номер: GB2614178A
Автор: Bhatia Sumit, Dalmia Ayushi, Sankaranarayanan Karthik, Sen Jaydeep
Принадлежит: International Business Machines Corp

A natural language processing approach for generating domain specific reasoning-based meaning representations. The approach may include receiving a user query via structured or unstructured data. The approach may also include generating a structured query from the user query using domain specific ontology and universal facts. Further, the approach many include the structured query may be analyzed to determine if the structured query has been assigned consistent concepts, properties and actions. Additionally, the approach may involve correcting the structured query if it is determined the structured query is inconsistent with the domain ontology and the universal facts.

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Номер записи: 9
12-10-2023 дата публикации

System and method for automatic identification of legal entities

Номер: US20230325425A1
Автор: Ayushi Dalmia, Jasneet Singh Sabharwal, Somya Anand
Принадлежит: Relativity Oda LLC

Systems, methods, and computer readable media for identifying entities as legal entities are provided. These techniques may include accessing a corpus of documents and applying a persona prediction machine learning algorithm to classify entities associated with the corpus of documents. The persona prediction machine learning algorithm may include two layers. A first layer includes applying a signature block classifier that analyzes signature blocks of the entities. A second layer includes applying an entity classifier that analyzes a plurality of documents and/or network graphs associated with the entities. An entity database is updated to indicate the output of the persona prediction machine learning algorithm based on the signature block classifier and/or the entity classifier.

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Номер записи: 10
12-10-2023 дата публикации

Systems and methods for self-training a communication document parser

Номер: US20230325715A1
Автор: Ayushi Dalmia, Jasneet Singh Sabharwal, Somya Anand
Принадлежит: Relativity Oda LLC

Systems, methods, and computer readable media for self-training a parser of electronic communication documents, such as emails, are provided. These techniques may include applying a parser to a batch of electronic communication documents to identify entities included in unstructured text. The outputs of the parser are used to identify entries in a metadata file associated with the electronic communication documents to generate training data for the parser. The parser is then re-trained using the training data and applied to an additional batch of documents. Through this process, the systems, methods, and computer readable media are able to re-train the parser without obtaining manual annotations of electronic communication documents.

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Номер записи: 11