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United States of America Patent

SERIAL NO

12711517

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Abstract

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Systems and methods for providing content recommendations to a user based on aggregate profile data of other users that the user is predicted to encounter in the future are disclosed. In general, an aggregate profile is obtained for a predicted encounter of a first user. The aggregate profile is based on user profiles of a number of second users identified for the predicted encounter. In one embodiment, the predicted encounter is a predicted physical encounter. In another embodiment, the predicted encounter is a predicted remote encounter. One or more content recommendations are then obtained for the first user based on the aggregate profile for the predicted encounter. The content recommendation may be, for example, a recommended movie, a recommended television program, a recommended news article, a recommended user-generated video (e.g., a recommended video on YouTube.com), or the like.

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Patent Owner(s)

Patent OwnerAddress
UBER TECHNOLOGIES INC1515 3RD STREET SAN FRANCISCO CA 94158

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Amidon, Christopher M Apex, US 88 3512
Petersen, Steven L Los Gatos, US 55 3756

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