Turner Broadcasting System, Inc.

Erica R Greene

Benjamin Recht

Brian A Whitman

Disclosed examples can relate to obtaining identifications of content (e.g., content recommendations) while keeping at least some interaction data locally private. For a given user and device, content items for which the user may have an affinity can be predicted based on the interactions of the user with other content items. Respective interaction data for respective content items can stay local to the user device by transforming the respective content items into content codes (e.g., determined based on a codebook generated by clustering perceptual values). The affinity for content codes can be transmitted to the server for use in determining identifications of content items to provide to the device.

Content identification with privacy and security

Methods and systems for recommending content to a client device operated by a user include receiving a set of ratings for each of a first set of content items by a user from a client device for use in a factor model. The set of ratings is not maintained in the server for longer than necessary to calculate a rating vector and/or to update a matrix factor defined by the rank of the factor model and a total number of content items eligible for ranking.

Growing community of inventors

Boston, MA, United States of America

Erica R Greene