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公开(公告)号：US11689755B2
公开(公告)日：2023-06-27
申请号：US17382031
申请日：2021-07-21
Applicant: Verizon Patent and Licensing Inc.
Inventor： Vamshi Gillipalli , Haripriya Srinivasaraghavan , Yogalakshmi Narayanasamy , Praveen Kumar Bandaru , Sirisha Sripathi , Abhishek A. Desai , Zhiqun Wang
IPC: H04N21/25 , H04N21/482 , G06F16/738 , G06F16/735 , H04N21/454
CPC classification number: H04N21/251 , G06F16/735 , G06F16/738 , H04N21/454 , H04N21/4826
Abstract: Disclosed is a system for generating personalized recommendations based on dynamic and customized content selections and modeling of the content selections. The system may receive a request with an identifier and a query, and may obtain a particular recommendation configuration based the identifier and the query. The system may retrieve a set of content that satisfies the query and that is identified with at least one content prioritization parameter specified in the particular recommendation configuration, may generate a set of models of one or more model types that model relevance between the set of content and a different event specified in the particular recommendation configuration, and may compute a score for each content in each model based on the modeled relevance. The system may present recommended content in a different order than the set of content based on aggregate scores compiled for each content from the set of models.
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公开(公告)号：US11475080B2
公开(公告)日：2022-10-18
申请号：US16561554
申请日：2019-09-05
Applicant: Verizon Patent and Licensing Inc.
Inventor： Haripriya Srinivasaraghavan , Praveen Kumar Bandaru
IPC: G06F40/295 , G06F16/9532 , G06F16/9535 , G06F16/9538 , G06F40/30 , G06F40/205 , G06F3/0484
Abstract: A method, a device, and a non-transitory storage medium are described, which provide a natural language-based content search and discovery service. The natural language-based content search and discovery service may use query object types as a basis for interpreting a vocalized search query from a user. The natural language-based content search and discovery service may use a multi-interpretative procedure that includes use of a probabilistic grammar parser, parts of speech, and query object type identification that are configured for a media domain. The natural language-based content search and discovery service may merge different interpretations of the search query based on probability values associated with each interpretation.
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公开(公告)号：US11275779B2
公开(公告)日：2022-03-15
申请号：US16928395
申请日：2020-07-14
Applicant: Verizon Patent and Licensing Inc.
IPC: G06F16/438 , G06F16/435 , G06F16/28 , G06Q30/06 , G06F3/0482
Abstract: A method, a device, and a non-transitory storage medium for determining, based on media content selection activity of a user for a media content inventory, the user's sensitivity to a cost and to a relevance of the media content; assigning a cost value to respective media content items based on user-specific content cost information from media content providers; assigning a relevance value to the respective media content items based on user-specific content relevancy information associated with the respective media content items; ranking the media content items based on: the user's sensitivity to the cost of the media content relative to the cost values for the respective media content items, and the user's sensitivity to the relevance of the media content relative to the relevance values for the respective media content items; and presenting, via a personalized media content recommendation interface, an ordering of the media content items based on the ranking.
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公开(公告)号：US20190129960A1
公开(公告)日：2019-05-02
申请号：US15798565
申请日：2017-10-31
Applicant: Verizon Patent and Licensing Inc.
Inventor： Haripriya Srinivasaraghavan
Abstract: A method, a device, and a non-transitory storage medium are described in which a priming-based search and discovery service for contents uses a weighted graph that stores metadata pertaining to the contents, activation values, threshold values, and a distance parameter that limits the search space relative to primed nodes of the weighted graph that are relevant to search terms.
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公开(公告)号：US10114824B2
公开(公告)日：2018-10-30
申请号：US14799206
申请日：2015-07-14
Applicant: Verizon Patent and Licensing Inc.
Inventor： Haripriya Srinivasaraghavan
Abstract: Techniques described herein may be used to improve recommendations that are provided to a user regarding content (e.g., images, music, and videos). A content recommendations server may provide a user with recommended content and the reasons for which the content is being recommended, such as genres, directors, and actors that the content recommendations server believes the user enjoys. The user may provide feedback to the content recommendations server regarding the recommendations themselves and also regarding the reasons for which the content was recommended. The content recommendations server may use the feedback to improve subsequent recommendations to the user.
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Patent Agency Ranking
公开(公告)号：US20230028389A1
公开(公告)日：2023-01-26
申请号：US17382031
申请日：2021-07-21
Applicant: Verizon Patent and Licensing Inc.
Inventor： Vamshi Gillipalli , Haripriya Srinivasaraghavan , Yogalakshmi Narayanasamy , Praveen Kumar Bandaru , Sirisha Sripathi , Abhishek A. Desai , Zhiqun Wang
IPC: H04N21/25 , H04N21/482 , H04N21/454 , G06F16/735 , G06F16/738
Abstract: Disclosed is a system for generating personalized recommendations based on dynamic and customized content selections and modeling of the content selections. The system may receive a request with an identifier and a query, and may obtain a particular recommendation configuration based the identifier and the query. The system may retrieve a set of content that satisfies the query and that is identified with at least one content prioritization parameter specified in the particular recommendation configuration, may generate a set of models of one or more model types that model relevance between the set of content and a different event specified in the particular recommendation configuration, and may compute a score for each content in each model based on the modeled relevance. The system may present recommended content in a different order than the set of content based on aggregate scores compiled for each content from the set of models.
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公开(公告)号：US11070881B1
公开(公告)日：2021-07-20
申请号：US16922460
申请日：2020-07-07
Applicant: Verizon Patent and Licensing Inc.
Inventor： Haripriya Srinivasaraghavan , Rajeshwar Makam , Frolov Volodymyr , Pratik Sarkar , Ankit Naidu , Yevhen Rutskyi
IPC: H04N7/10 , H04N7/025 , H04N21/466 , H04N21/25 , H04N21/84
Abstract: A device may receive content data, a first model, and a second model. The first model may be trained on different types of metadata than the second model. The content data may include a first identifier of a first content item and a first set of metadata associated with the first content item. The device may process the first set of metadata to generate first recommendations from the first model and second recommendations from the second model. The device may provide the first identifier and a combination of the first recommendations and the second recommendations to client devices. The device may receive, from the client devices, user-generated target recommendations based on the combination. The device may process the user-generated target recommendations, the first recommendations, and the second recommendations, to provide feedback to update the first model and the second model.
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公开(公告)号：US20210073215A1
公开(公告)日：2021-03-11
申请号：US16561567
申请日：2019-09-05
Applicant: Verizon Patent and Licensing Inc.
Inventor： Haripriya Srinivasaraghavan , Praveen Kumar Bandaru , Veena Chugani
IPC: G06F16/242 , G06F16/248 , G06N20/00 , G06N7/00 , G06F16/2457
Abstract: A method, a device, and a non-transitory storage medium are described, which provide a natural language-based content system with corrective feedback and training service. The natural language-based content system with corrective feedback and training service may collect data based on interaction with search results from users. The natural language understanding model may generate feedback data based on the collected data, and use the feedback data to further train the natural language understanding model and update search and discovery logic for searching and discovering contents. The feedback data may categorize errors based on the interaction, and identify differences between search queries received during a search session with a user.
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公开(公告)号：US20200342020A1
公开(公告)日：2020-10-29
申请号：US16928395
申请日：2020-07-14
Applicant: Verizon Patent and Licensing Inc.
IPC: G06F16/438 , G06F3/0482 , G06Q30/06 , G06F16/28 , G06F16/435
Abstract: A method, a device, and a non-transitory storage medium for determining, based on media content selection activity of a user for a media content inventory, the user's sensitivity to a cost and to a relevance of the media content; assigning a cost value to respective media content items based on user-specific content cost information from media content providers; assigning a relevance value to the respective media content items based on user-specific content relevancy information associated with the respective media content items; ranking the media content items based on: the user's sensitivity to the cost of the media content relative to the cost values for the respective media content items, and the user's sensitivity to the relevance of the media content relative to the relevance values for the respective media content items; and presenting, via a personalized media content recommendation interface, an ordering of the media content items based on the ranking.
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公开(公告)号：US10579631B2
公开(公告)日：2020-03-03
申请号：US15798565
申请日：2017-10-31
Applicant: Verizon Patent and Licensing Inc.
Inventor： Haripriya Srinivasaraghavan
IPC: G06F17/30 , G06F16/2457 , G06F3/048 , G06F16/40 , G06F16/248 , G06F16/435
Abstract: A method, a device, and a non-transitory storage medium are described in which a priming-based search and discovery service for contents uses a weighted graph that stores metadata pertaining to the contents, activation values, threshold values, and a distance parameter that limits the search space relative to primed nodes of the weighted graph that are relevant to search terms.
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