Google Inc.

Josh Karlin

Gang Wang

Michael Kleber

Daniel Ramage

Zhenyu Liu

Deepak Ravichandran

Yijian Bai

Nitish John Korula

Moti Yung

Jason Hsueh

Charlie Harrison

The present disclosure provides systems and methods for client-side anonymized content selections. The method includes collecting a plurality of identifications of content selection lists, each content selection list associated with the first device and at least one other device. The method includes selecting a first subset of the content selection lists, responsive to a total number of unique device associated with a plurality of content selection lists of the first subset exceeding a threshold. The method includes transmitting a request for an item of content, the request comprising identifications of the content selection lists of the selected first subset. The method includes receiving a first item of content selected by the content server based on the content selection lists of the selected first subset.

Systems and methods for preserving device privacy

The present disclosure provides systems and methods for content quasi-personalization or anonymized content retrieval via aggregated browsing history of a large plurality of devices, such as millions or billions of devices. A sparse matrix may be constructed from the aggregated browsing history, and dimensionally reduced, reducing entropy and providing anonymity for individual devices. Relevant content may be selected via quasi-personalized clusters representing similar browsing histories, without exposing individual device details to content providers.

Low entropy browsing history for ads quasi-personalization

Privacy preserving remarketing

Growing community of inventors

Mountain View, CA, United States of America

Josh Karlin