Samsung Electronics Co., Ltd.

Netflix Inc.

Ganapriya Poolavari

Poornaprajna Udupi

Daniel Isaac Jacobson

Benjamin Christensen

Jason Cacciatore

Ben Schmaus

Mikey Cohen

Ke Jin

Sharath Polepalli

Vinod S Talati

Benjamin James Christensen

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.

Temporal-based recommendations for personalized user contexts and viewing preferences

A technique for providing an API from a server to one of more endpoint devices including receiving a request for data from a endpoint device, retrieving one or more data resources from the data resources available within the server, based upon the request, manipulating the data within the retrieved data resources into a response optimized for the endpoint device, and transmitting the response to the endpoint device.

API platform that includes server-executed client-based code

Growing community of inventors

Saratoga, CA, United States of America

Ganapriya Poolavari