Verizon Patent and Licensing Inc.

Zhiqun Wang

Haripriya Srinivasaraghavan

Vamshi K Gillipalli

Praveen Kumar Bandaru

Abhishek A Desai

Yogalakshmi Narayanasamy

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

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Sammamish, WA, United States of America

Zhiqun Wang