Patents by Inventor Sharath Polepalli

Sharath Polepalli 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).

  • Temporal-based recommendations for personalized user contexts and viewing preferences
    Patent number: 11157964
    Abstract: A method includes receiving temporal-based user profile data including a first set of user profile data and a second set of user profile data. The method further includes determining an aggregated profile covariance (APC) and an aggregated profile variance (APV), and then deriving a regression coefficient based on the APC and the APV. In response to receiving an observation of desirable media content for one or more particular timeslots, the method further includes determining an updated APC based on a covariance of the first set of user profile data and the observation of desirable media content, determining an updated APV based on a variance of the first set of user profile data, and generating a prediction of desirable media content based on the updated APC, the updated APV, and the regression coefficient. The prediction of desirable media content corresponds to the one or more particular timeslots.
    Type: Grant
    Filed: January 8, 2020
    Date of Patent: October 26, 2021
    Assignee: SAMSUNG ELECTRONICS COMPANY, LTD.
    Inventors: Ganapriya Poolavari, Ke Jin, Sharath Polepalli, Vinod S. Talati
  • TEMPORAL-BASED RECOMMENDATIONS FOR PERSONALIZED USER CONTEXTS AND VIEWING PREFERENCES
    Publication number: 20200219139
    Abstract: A method includes receiving temporal-based user profile data including a first set of user profile data and a second set of user profile data. The method further includes determining an aggregated profile covariance (APC) and an aggregated profile variance (APV), and then deriving a regression coefficient based on the APC and the APV. In response to receiving an observation of desirable media content for one or more particular timeslots, the method further includes determining an updated APC based on a covariance of the first set of user profile data and the observation of desirable media content, determining an updated APV based on a variance of the first set of user profile data, and generating a prediction of desirable media content based on the updated APC, the updated APV, and the regression coefficient. The prediction of desirable media content corresponds to the one or more particular timeslots.
    Type: Application
    Filed: January 8, 2020
    Publication date: July 9, 2020
    Inventors: Ganapriya Poolavari, Ke Jin, Sharath Polepalli, Vinod S. Talati