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

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Применить Всего найдено 8. Отображено 7.
12-09-2017 дата публикации

Relevancy-based domain classification

Номер: US0009760640B2
Принадлежит: YIELDBOT INC., YIELDBOT INC

A domain classifier develops and maintains relevance data about specific domains based on historical relevance data and source context data. Such data may be used to classify the user's interest in attempting to visit a specific domain and thereby redirect the user to a website expected to be aligned with the user's interest. In various implementations, the historical relevance data is derived from source context data and/or post-visit user behavior collected from previous attempts to visit a specific domain. The source context data collected from the current visit may also be used as source context-factors to influence domain classification. Based on such historical and current source context factors, as well as the domain address provided in the user's navigation request, a domain classifier consults the historical relevance data and provides the user with Web content that is identified as likely to be relevant to the user's interests.

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23-05-2013 дата публикации

Interest Keyword Identification

Номер: US20130132366A1
Автор: Pieper Keith Merle
Принадлежит: Working Research Inc.

A domain classifier develops and maintains relevance data about specific domains based on historical relevance data and source context data. Such data may be used to classify the user's interest in attempting to visit a specific domain and thereby redirect the user to a website expected to be aligned with the user's interest. In various implementations, the historical relevance data is derived from source context data and/or post-visit user behavior collected from previous attempts to visit a specific domain. The source context data collected from the current visit may also be used as source context-factors to influence domain classification. Based on such historical and current source context factors, as well as the domain address provided in the user's navigation request, a domain classifier consults the historical relevance data and provides the user with Web content that is identified as likely to be relevant to the user's interests. 1. A method comprising:identifying at least one interest keyword based on a combination of a user's keyword search results and the user's clickstream data responsive to the user's keyword search results; andtransmitting the at least one interest keyword to a server that serves content associated with the interest keyword to the user.2. The method of claim 1 , wherein the server is an advertising server and the content includes an advertisement that is determined to be relevant to the at least one interest keyword.3. The method of claim 1 , further comprising:receiving the user's keyword search results and the user's clickstream data prior to the identifying operation.4. The method of claim 1 , wherein the content is one or both of advertising content and web content.5. The method of claim 1 , wherein the user's keyword search results are obtained from the user's entry of one or more search keywords into a search engine.6. The method of claim 1 , wherein the identifying operation includes:identifying the user's perceived interest ...

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06-11-2014 дата публикации

Relevancy-based domain classification

Номер: US20140330847A1
Автор: Keith Merle Pieper
Принадлежит: WORKING RESEARCH Inc

A domain classifier develops and maintains relevance data about specific domains based on historical relevance data and source context data. Such data may be used to classify the user's interest in attempting to visit a specific domain and thereby redirect the user to a website expected to be aligned with the user's interest. In various implementations, the historical relevance data is derived from source context data and/or post-visit user behavior collected from previous attempts to visit a specific domain. The source context data collected from the current visit may also be used as source context-factors to influence domain classification. Based on such historical and current source context factors, as well as the domain address provided in the user's navigation request, a domain classifier consults the historical relevance data and provides the user with Web content that is identified as likely to be relevant to the user's interests.

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08-11-2018 дата публикации

Interest Keyword Identification

Номер: US20180322201A1
Автор: Pieper Keith Merle
Принадлежит:

A domain classifier develops and maintains relevance data about specific domains based on historical relevance data and source context data. Such data may be used to classify the user's interest in attempting to visit a specific domain and thereby redirect the user to a website expected to be aligned with the user's interest. In various implementations, the historical relevance data is derived from source context data and/or post-visit user behavior collected from previous attempts to visit a specific domain. The source context data collected from the current visit may also be used as source context-factors to influence domain classification. Based on such historical and current source context factors, as well as the domain address provided in the user's navigation request, a domain classifier consults the historical relevance data and provides the user with Web content that is identified as likely to be relevant to the user's interests. 1. A method comprising:identifying at least one interest keyword based on a combination of a user's keyword search results and the user's clickstream data responsive to the user's keyword search results; andtransmitting the at least one interest keyword to a server that serves content associated with the interest keyword to the user.2. The method of claim 1 , wherein the server is an advertising server and the content includes an advertisement that is determined to be relevant to the at least one interest keyword.3. The method of claim 1 , further comprising:receiving the user's keyword search results and the user's clickstream data prior to the identifying operation.4. The method of claim 1 , wherein the content is one or both of advertising content and web content.5. The method of claim 1 , wherein the user's keyword search results are obtained from the user's entry of one or more search keywords into a search engine.6. The method of claim 1 , wherein the identifying operation includes:identifying the user's perceived interest ...

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28-12-2017 дата публикации

Relevancy-based domain classification

Номер: US20170371967A1
Автор: Keith Merle Pieper
Принадлежит: Yieldbot Inc

A domain classifier develops and maintains relevance data about specific domains based on historical relevance data and source context data. Such data may be used to classify the user's interest in attempting to visit a specific domain and thereby redirect the user to a website expected to be aligned with the user's interest. In various implementations, the historical relevance data is derived from source context data and/or post-visit user behavior collected from previous attempts to visit a specific domain. The source context data collected from the current visit may also be used as source context-factors to influence domain classification. Based on such historical and current source context factors, as well as the domain address provided in the user's navigation request, a domain classifier consults the historical relevance data and provides the user with Web content that is identified as likely to be relevant to the user's interests.

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07-08-2018 дата публикации

Interest keyword identification

Номер: US10042927B2
Автор: Keith Merle Pieper
Принадлежит: Yeildbot Inc

A domain classifier develops and maintains relevance data about specific domains based on historical relevance data and source context data. Such data may be used to classify the user's interest in attempting to visit a specific domain and thereby redirect the user to a website expected to be aligned with the user's interest. In various implementations, the historical relevance data is derived from source context data and/or post-visit user behavior collected from previous attempts to visit a specific domain. The source context data collected from the current visit may also be used as source context-factors to influence domain classification. Based on such historical and current source context factors, as well as the domain address provided in the user's navigation request, a domain classifier consults the historical relevance data and provides the user with Web content that is identified as likely to be relevant to the user's interests.

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03-05-2012 дата публикации

Relevancy-based domain classification

Номер: US20120110008A1
Автор: Keith Merle Pieper
Принадлежит: Working Res Inc

A domain classifier develops and maintains relevance data about specific domains based on historical relevance data and source context data. Such data may be used to classify the user's interest in attempting to visit a specific domain and thereby redirect the user to a website expected to be aligned with the user's interest. In various implementations, the historical relevance data is derived from source context data and/or post-visit user behavior collected from previous attempts to visit a specific domain. The source context data collected from the current visit may also be used as source context-factors to influence domain classification. Based on such historical and current source context factors, as well as the domain address provided in the user's navigation request, a domain classifier consults the historical relevance data and provides the user with Web content that is identified as likely to be relevant to the user's interests.

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