- 专利标题: Low entropy browsing history for ads quasi-personalization
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申请号: US17892699申请日: 2022-08-22
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公开(公告)号: US11954705B2公开(公告)日: 2024-04-09
- 发明人: Michael Kleber , Gang Wang , Daniel Ramage , Charlie Harrison , Josh Karlin , Moti Yung
- 申请人: Google LLC
- 申请人地址: US CA Mountain View
- 专利权人: Google LLC
- 当前专利权人: Google LLC
- 当前专利权人地址: US CA Mountain View
- 代理机构: Fish & Richardson P.C.
- 主分类号: G06F7/02
- IPC分类号: G06F7/02 ; G06F16/00 ; G06F16/951 ; G06Q30/0251 ; H04L9/08 ; H04L9/32
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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