中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

6 records (took 0.012 seconds)

    Predicting user needs for a particular context
    1.
    发明授权
    Predicting user needs for a particular context 有权

    公开(公告)号：US09940362B2

    公开(公告)日：2018-04-10

    申请号：US14721613

    申请日：2015-05-26

    Applicant: Google LLC

    Inventor： Yew Jin Lim ,  James Kunz ,  Joseph Garrett Linn ,  Charles Jordan Gilliland ,  David Faden ,  Sanjit Jhala

    IPC: G06F17/30

    CPC classification number: G06F17/30528 ,  G06F17/30241 ,  G06F17/3053 ,  G06F17/30867 ,  G06F17/30876

    Abstract: A computing system is described that identifies, based on search histories associated with a group of computing devices for a particular context, a task performed by users of the group of computing devices for the particular context. The computing system determines a first degree of likelihood of the task being performed by the users of the group of computing devices for the particular context and determines a second degree of likelihood of the task being performed by the users of the group of computing devices for a broader context that includes the particular context and at least one other context. Responsive to determining that the first degree of likelihood exceeds the second degree of likelihood by a threshold amount, and that a current context of a particular computing device corresponds to the particular context, the computing system transmits, to the particular computing device, information for completing the task for the particular context.

    Predicting user needs for a particular context
    2.
    发明授权
    Predicting user needs for a particular context 有权

    公开(公告)号：US10650005B2

    公开(公告)日：2020-05-12

    申请号：US15908473

    申请日：2018-02-28

    Applicant: Google LLC

    Inventor： Yew Jin Lim ,  James Kunz ,  Joseph Garrett Linn ,  Charles Jordan Gilliland ,  David Faden ,  Sanjit Jhala

    IPC: G06F16/2457 ,  G06F16/29 ,  G06F16/955 ,  G06F16/9535

    Abstract: A computing system is described that identifies, based on search histories associated with a group of computing devices for a particular context, a task performed by users of the group of computing devices for the particular context. The computing system determines a first degree of likelihood of the task being performed by the users of the group of computing devices for the particular context and determines a second degree of likelihood of the task being performed by the users of the group of computing devices for a broader context that includes the particular context and at least one other context. Responsive to determining that the first degree of likelihood exceeds the second degree of likelihood by a threshold amount, and that a current context of a particular computing device corresponds to the particular context, the computing system transmits, to the particular computing device, information for completing the task for the particular context.

    PREDICTING USER NEEDS FOR A PARTICULAR CONTEXT
    3.
    发明申请
    PREDICTING USER NEEDS FOR A PARTICULAR CONTEXT 审中-公开

    公开(公告)号：US20180189358A1

    公开(公告)日：2018-07-05

    申请号：US15908473

    申请日：2018-02-28

    Applicant: Google LLC

    Inventor： Yew Jin Lim ,  James Kunz ,  Joseph Garrett Linn ,  Charles Jordan Gilliland ,  David Faden ,  Sanjit Jhala

    IPC: G06F17/30

    CPC classification number: G06F16/24575 ,  G06F16/24578 ,  G06F16/29 ,  G06F16/9535 ,  G06F16/955

    Abstract: A computing system is described that identifies, based on search histories associated with a group of computing devices for a particular context, a task performed by users of the group of computing devices for the particular context. The computing system determines a first degree of likelihood of the task being performed by the users of the group of computing devices for the particular context and determines a second degree of likelihood of the task being performed by the users of the group of computing devices for a broader context that includes the particular context and at least one other context. Responsive to determining that the first degree of likelihood exceeds the second degree of likelihood by a threshold amount, and that a current context of a particular computing device corresponds to the particular context, the computing system transmits, to the particular computing device, information for completing the task for the particular context.

    Modeling lift of metrics for triggering push notifications
    4.
    发明授权
    Modeling lift of metrics for triggering push notifications 有权

    公开(公告)号：US11574339B1

    公开(公告)日：2023-02-07

    申请号：US16705919

    申请日：2019-12-06

    Applicant: Google LLC

    Inventor： Yew Jin Lim ,  James Kunz ,  Randolph Gregory Brown ,  Beidou Wang ,  David Hou ,  Kyle Zaragoza ,  Yi Li ,  Nikita Kirnosov ,  Tao Feng

    IPC: G06Q30/00 ,  G06Q30/02 ,  G06N20/00 ,  G06Q50/00

    Abstract: Processor(s) of a client device can: analyze one or more features of an electronic resource that is under consideration for solicitation to a user; determine a notification likelihood that the user will access the electronic resource in response to an unsolicited notification of the electronic resource being output to the user; determine a baseline likelihood that the user will access the electronic resource without being solicited; compare the notification likelihood with the baseline likelihood; and cause, based on the comparing, the unsolicited notification to be output to the user. In some implementations, determining the notification likelihood and/or the baseline likelihood is based on applying data associated with the electronic resource as input across a machine learning model to generate output indicative of the notification likelihood and/or the baseline likelihood. In other implementations, determining the notification likelihood and/or the baseline likelihood is based on past behavior or preference(s) of the user.

Patent Agency Ranking