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公开(公告)号:US20230222542A9
公开(公告)日:2023-07-13
申请号:US17892699
申请日:2022-08-22
申请人: Google LLC
发明人: Michael Kleber , Gang Wang , Daniel Ramage , Charlie Harrison , Josh Karlin , Moti Yung
IPC分类号: G06Q30/02 , G06F16/951 , H04L9/32 , H04L9/08
CPC分类号: G06Q30/0255 , G06F16/951 , H04L9/32 , H04L9/085 , H04L2209/42
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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公开(公告)号:US12001589B2
公开(公告)日:2024-06-04
申请号:US17627033
申请日:2020-04-16
申请人: Google LLC
发明人: Michael Kleber , Zhenyu Liu , Josh Karlin , Deepak Ravichandran , Nitish John Korula , Yijian Bai , Jason Hsueh , Gang Wang
CPC分类号: G06F21/6254 , G06N20/00 , H04L67/53 , H04L67/535
摘要: The present disclosure provides systems and methods for client-side anonymized content selections. The method includes collecting a plurality of identifications of content selection lists, each content selection list associated with the first device and at least one other device. The method includes selecting a first subset of the content selection lists, responsive to a total number of unique device associated with a plurality of content selection lists of the first subset exceeding a threshold. The method includes transmitting a request for an item of content, the request comprising identifications of the content selection lists of the selected first subset. The method includes receiving a first item of content selected by the content server based on the content selection lists of the selected first subset.
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公开(公告)号:US11423441B2
公开(公告)日:2022-08-23
申请号:US16698548
申请日:2019-11-27
申请人: Google LLC
发明人: Michael Kleber , Gang Wang , Daniel Ramage , Charlie Harrison , Josh Karlin , Moti Yung
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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公开(公告)号:US20240281566A1
公开(公告)日:2024-08-22
申请号:US18649531
申请日:2024-04-29
申请人: Google LLC
发明人: Michael Kleber , Zhenyu Liu , Josh Karlin , Deepak Ravichandran , Nitish John Korula , Yijian Bai , Jason Hsueh , Gang Wang
CPC分类号: G06F21/6254 , G06N20/00 , H04L67/53 , H04L67/535
摘要: The present disclosure provides systems and methods for client-side anonymized content selections. The method includes collecting a plurality of identifications of content selection lists, each content selection list associated with the first device and at least one other device. The method includes selecting a first subset of the content selection lists, responsive to a total number of unique device associated with a plurality of content selection lists of the first subset exceeding a threshold. The method includes transmitting a request for an item of content, the request comprising identifications of the content selection lists of the selected first subset. The method includes receiving a first item of content selected by the content server based on the content selection lists of the selected first subset.
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公开(公告)号:US11954705B2
公开(公告)日:2024-04-09
申请号:US17892699
申请日:2022-08-22
申请人: Google LLC
发明人: Michael Kleber , Gang Wang , Daniel Ramage , Charlie Harrison , Josh Karlin , Moti Yung
IPC分类号: G06F7/02 , G06F16/00 , G06F16/951 , G06Q30/0251 , H04L9/08 , H04L9/32
CPC分类号: G06Q30/0255 , G06F16/951 , H04L9/085 , H04L9/32 , H04L2209/42
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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公开(公告)号:US11074369B2
公开(公告)日:2021-07-27
申请号:US16524792
申请日:2019-07-29
申请人: GOOGLE LLC
发明人: Michael Kleber , Zhenyu Liu , Josh Karlin , Gang Wang , Nitish John Korula , Yijian Bai , Jason Hsueh , Deepak Ravichandran
摘要: The present disclosure provides systems and methods for client-side anonymized content selections. The method includes collecting a plurality of identifications of content selection lists, each content selection list associated with the first device and at least one other device. The method includes selecting a first subset of the content selection lists, responsive to a total number of unique device associated with a plurality of content selection lists of the first subset exceeding a threshold. The method includes transmitting a request for an item of content, the request comprising identifications of the content selection lists of the selected first subset. The method includes receiving a first item of content selected by the content server based on the content selection lists of the selected first subset.
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公开(公告)号:US20240211996A1
公开(公告)日:2024-06-27
申请号:US18588659
申请日:2024-02-27
申请人: Google LLC
发明人: Michael Kleber , Gang Wang , Daniel Ramage , Charlie Harrison , Josh Karlin , Moti Yung
IPC分类号: G06Q30/0251 , G06F16/951 , H04L9/08 , H04L9/32
CPC分类号: G06Q30/0255 , G06F16/951 , H04L9/085 , H04L9/32 , H04L2209/42
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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公开(公告)号:US20220391947A1
公开(公告)日:2022-12-08
申请号:US17892699
申请日:2022-08-22
申请人: Google LLC
发明人: Michael Kleber , Gang Wang , Daniel Ramage , Charles Harrison , Josh Karlin , Moti Yung
IPC分类号: G06Q30/02 , G06F16/951 , H04L9/32 , H04L9/08
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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公开(公告)号:US20220253557A1
公开(公告)日:2022-08-11
申请号:US17627033
申请日:2020-04-16
申请人: Google LLC
发明人: Michael Kleber , Zhenyu Liu , Josh Karlin , Deepak Ravichandran , Nitish John Korula , Yijian Bai , Jason Hsueh , Gang Wang
摘要: The present disclosure provides systems and methods for client-side anonymized content selections. The method includes collecting a plurality of identifications of content selection lists, each content selection list associated with the first device and at least one other device. The method includes selecting a first subset of the content selection lists, responsive to a total number of unique device associated with a plurality of content selection lists of the first subset exceeding a threshold. The method includes transmitting a request for an item of content, the request comprising identifications of the content selection lists of the selected first subset. The method includes receiving a first item of content selected by the content server based on the content selection lists of the selected first subset.
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公开(公告)号:US20210042787A1
公开(公告)日:2021-02-11
申请号:US16698548
申请日:2019-11-27
申请人: Google LLC
发明人: Michael Kleber , Gang Wang , Daniel Ramage , Charlie Harrison , Josh Karlin , Moti Yung
IPC分类号: G06Q30/02 , H04L9/32 , H04L9/08 , G06F16/951
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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