- 专利标题: LOW ENTROPY BROWSING HISTORY FOR CONTENT QUASI-PERSONALIZATION
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申请号: EP23198404.8申请日: 2020-03-31
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公开(公告)号: EP4274194A3公开(公告)日: 2023-12-06
- 发明人: WANG, Gang , YUNG, Marcel M. M.
- 申请人: Google LLC
- 申请人地址: US Mountain View, CA 94043 1600 Amphitheatre Parkway
- 代理机构: Morrall, Jonathan Ian McLachlan
- 优先权: US201916535912 20190808
- 主分类号: G06F16/9035
- IPC分类号: G06F16/9035 ; G06F21/55 ; H04L9/40 ; H04L67/306 ; H04L67/50 ; G06F21/60
摘要:
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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