Invention Grant
- Patent Title: Low entropy browsing history for content quasi-personalization
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Application No.: US17381797Application Date: 2021-07-21
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Publication No.: US11687597B2Publication Date: 2023-06-27
- Inventor: Gang Wang , Marcel M. M. Yung
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06F7/02
- IPC: G06F7/02 ; G06F16/00 ; G06F16/906 ; G06F16/957 ; G06F16/958 ; G06F16/951 ; G06N3/08 ; G06N7/04

Abstract:
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.
Public/Granted literature
- US20210349947A1 Low Entropy Browsing History for Content Quasi-Personalization Public/Granted day:2021-11-11
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