LOW ENTROPY BROWSING HISTORY FOR CONTENT QUASI-PERSONALIZATION

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...

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Bibliographische Detailangaben
Hauptverfasser: M. M. YUNG MARCEL, O TAKESHI, KLEBER MICHAEL S, HARRISON CHARLIE SCHAFER, KARLIN JOSH FORREST, RAMAGE DANIEL ROBERT
Format: Patent
Sprache:chi ; eng
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