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    PRIVACY PRESERVING MACHINE LEARNING EXPANSION MODELS
    2.
    发明公开
    PRIVACY PRESERVING MACHINE LEARNING EXPANSION MODELS 审中-公开

    公开(公告)号：US20230177543A1

    公开(公告)日：2023-06-08

    申请号：US17543465

    申请日：2021-12-06

    申请人： Google LLC

    发明人： Wei Huang ,  Zhenyu Liu ,  Geoffrey Charles Levine ,  Deepa Paranjpe ,  Yipei Wang ,  Robert Istvan Busa-Fekete

    IPC分类号： G06Q30/02 ,  G06Q30/06 ,  G06N20/00

    CPC分类号： G06Q30/0205 ,  G06Q30/0631 ,  G06N20/00

    摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for using machine learning models to expand user groups while preserving user privacy and data security are described. In one aspect, a method includes receiving, for a web-based resource, a set of user group identifiers for a set of user interest groups that each include, as members, one or more users that requested content from the web-based resource over a given time period. A seed user list that includes user identifiers for at least a portion of the users in the set of user interest groups is created. A similar audience machine learning model is generated based on a set of one or more feature values corresponding to one or more features of the users corresponding to the user identifiers in the seed user list. A set of similar users is identified using the model.

    SYSTEMS AND METHODS FOR PRESERVING DEVICE PRIVACY
    3.
    发明申请
    SYSTEMS AND METHODS FOR PRESERVING DEVICE PRIVACY 有权

    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

    IPC分类号： G06F21/62 ,  G06N20/00 ,  H04L67/53 ,  H04L67/50

    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.

    Privacy preserving remarketing
    5.
    发明授权
    Privacy preserving remarketing 有权

    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

    IPC分类号： G06F21/62 ,  G06N20/00 ,  H04L29/08

    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.

    Local mobile memo for non-interrupting link noting
    6.
    发明授权
    Local mobile memo for non-interrupting link noting 有权

    公开(公告)号：US10129386B1

    公开(公告)日：2018-11-13

    申请号：US15162399

    申请日：2016-05-23

    申请人： Google LLC

    发明人： Yifang Liu ,  Zhenyu Liu

    IPC分类号： G06F17/22 ,  H04M1/725 ,  G06F3/0482 ,  G06F3/0488 ,  G06F17/27

    摘要： Systems, methods, routines and/or techniques for a local mobile memo for non-interrupting link noting are described. One or more embodiments may include a method that may include displaying to a user a page containing a link, receiving a first user input that indicates the link should be saved for potential later processing and saving the link to a local repository so that the link can be processed later. The saving may occur while the page continues to be displayed. The saving may occur without processing the link to perform the associated action. The method may include displaying a list (e.g., including the link) of one or more links saved in the repository, for example, in response to an event that indicates that the user may be interested in viewing links in the link repository.

    Local Mobile Memo For Non-interrupting Link Noting
    7.
    发明申请
    Local Mobile Memo For Non-interrupting Link Noting 审中-公开

    公开(公告)号：US20190028583A1

    公开(公告)日：2019-01-24

    申请号：US16144608

    申请日：2018-09-27

    申请人： Google LLC

    发明人： Yifang Liu ,  Zhenyu Liu

    IPC分类号： H04M1/725 ,  G06F17/27 ,  G06F3/0488 ,  G06F17/22 ,  G06F3/0482

    摘要： Systems, methods, routines and/or techniques for a local mobile memo for non-interrupting link noting are described. One or more embodiments may include a method that may include displaying to a user a page containing a link, receiving a first user input that indicates the link should be saved for potential later processing and saving the link to a local repository so that the link can be processed later. The saving may occur while the page continues to be displayed. The saving may occur without processing the link to perform the associated action. The method may include displaying a list (e.g., including the link) of one or more links saved in the repository, for example, in response to an event that indicates that the user may be interested in viewing links in the link repository.