Low entropy browsing history for content quasi-personalization

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 12158916
APP PUB NO 20230409646A1
SERIAL NO

18456281

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Abstract

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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.

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Patent Owner(s)

  • GOOGLE LLC

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Wang, Gang Jersey City, US 1411 9119
Yung, Marcel M M New York, US 20 184

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