Verizon Patent and Licensing Inc.

Yogalakshmi Narayanasamy

Haripriya Srinivasaraghavan

Vamshi K Gillipalli

Praveen Kumar Bandaru

Abhishek A Desai

Zhiqun Wang

Sirisha Sripathi

In some implementations, a device may receive historical content data indicating historical characteristics associated with one or more groups of content. The device may determine, based on the historical content data, one or more characteristics associated with a time period. The device may determine, based on the one or more characteristics, a new group of content associated with the time period. The device may generate a display element for accessing content included in the new group of content during the time period.

Systems and methods for content discovery by automatic organization of collections or rails

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

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Yogalakshmi Narayanasamy