Verizon Patent and Licensing Inc.

Abhishek A Desai

Enrique Ruiz-Velasco

Laxmi Patel

Haripriya Srinivasaraghavan

Vamshi K Gillipalli

Praveen Kumar Bandaru

Yogalakshmi Narayanasamy

Zhiqun Wang

Sirisha Sripathi

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.

Systems and methods for generating scalable personalized recommendations based on dynamic and customized content selections and modeling of the content selections

In one of many possible implementations, a system includes a content delivery subsystem providing online resource data and programming data associated with media content. The system further includes a content processing subsystem configured to communicate with the content delivery subsystem via a network. The content processing subsystem is configured to receive the programming data and to generate a program guide user interface including at least a subset of the programming data. The content processing subsystem is configured to access and utilize the online resource data to generate the program guide user interface when the online resource data is accessible via the network. The content processing subsystem is further configured to maintain and utilize offline resource data instead of the online resource data to generate the program guide user interface when the online resource data is inaccessible via the network.

Resource data configuration for media content access systems and methods

In one of many possible implementations, a system includes a content delivery subsystem providing online resource data and programming data associated with media content. The system further includes a content processing subsystem configured to communicate with the content delivery subsystem via a network. The content processing subsystem is configured to receive the programming data and to generate a program guide user interface including at least a subset of the programming data. The content processing subsystem is configured to access and utilize the online resource data on demand to generate the program guide user interface when the online resource data is accessible via the network. In certain implementations, the content processing subsystem includes offline resource data and is configured to utilize the offline resource data to generate the program guide user interface when the online resource data is inaccessible via the network.

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Irving, TX, United States of America

Abhishek A Desai