International Business Machines Corporation

Kelvin Kakugwa

Dinesh C Verma

Nirmit V Desai

Heather D Achilles

Bijan Davari

Shahrokh Daijavad

Wendy Chong

Joe Latone

Personalization with on-device privacy preservation is provided by receiving, at a user device, a generalized recommendation from a remote provider backend, which include a plurality of candidate items responsive to a request from an application running on the user device; generating a plurality of candidate vectors corresponding to the plurality of candidate items representing a corresponding candidate item in a binary format across a plurality of metrics associated with the plurality of candidate items; generating a user vector based on personal data stored on the user device, the user vector representing a user in a binary format across one or more metrics associated with the personal data; determining interaction propensities based on the user vector and the plurality of candidate vectors according to a global model run on the user device; and displaying, on the user device, the plurality of candidate items according to the interaction propensities.

On-device privacy-preservation and personalization

Growing community of inventors

San Francisco, CA, United States of America

Kelvin Kakugwa