Patents by Inventor Sirisha Sripathi

Sirisha Sripathi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods for generating scalable personalized recommendations based on dynamic and customized content selections and modeling of the content selections
    Patent number: 11689755
    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.
    Type: Grant
    Filed: July 21, 2021
    Date of Patent: June 27, 2023
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Vamshi Gillipalli, Haripriya Srinivasaraghavan, Yogalakshmi Narayanasamy, Praveen Kumar Bandaru, Sirisha Sripathi, Abhishek A. Desai, Zhiqun Wang
  • SYSTEMS AND METHODS FOR GENERATING SCALABLE PERSONALIZED RECOMMENDATIONS BASED ON DYNAMIC AND CUSTOMIZED CONTENT SELECTIONS AND MODELING OF THE CONTENT SELECTIONS
    Publication number: 20230028389
    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.
    Type: Application
    Filed: July 21, 2021
    Publication date: January 26, 2023
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Vamshi Gillipalli, Haripriya Srinivasaraghavan, Yogalakshmi Narayanasamy, Praveen Kumar Bandaru, Sirisha Sripathi, Abhishek A. Desai, Zhiqun Wang