Turner Broadcasting System, Inc.

Brian A Whitman

Benjamin Recht

Erica R Greene

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.

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Brooklyn, NY, United States of America

Brian A Whitman