USER STATE PREDICTIONS FOR PRESENTING INFORMATION

    公开(公告)号:US20180197099A1

    公开(公告)日:2018-07-12

    申请号:US15403958

    申请日:2017-01-11

    Applicant: Google Inc.

    Abstract: A computing device is described that determines, based on a state of a user, an initial user-interaction metric for information to be presented to the user and predicts, using a machine-learning model, a plurality of future states of the user. Each future state is associated with a respective user-interaction metric for the information. The device determines whether the initial user-interaction metric for the information is greater than or equal to the respective user-interaction metric of each of the future states and outputs an indication of the information if the initial user-interaction metric is greater than or equal to the respective user-interaction metric of each of the future states. However, if the initial user-interaction metric for the information is less than the respective user-interaction metric of any of the future states, the device refrains from outputting the indication of the information.

    PREDICTING USER NEEDS FOR A PARTICULAR CONTEXT
    4.
    发明申请
    PREDICTING USER NEEDS FOR A PARTICULAR CONTEXT 有权
    预测用户对特定语境的需求

    公开(公告)号:US20160350383A1

    公开(公告)日:2016-12-01

    申请号:US14721613

    申请日:2015-05-26

    Applicant: Google Inc.

    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.

    Abstract translation: 描述了一种计算系统,其基于与用于特定上下文的一组计算设备相关联的搜索历史来识别由用于特定上下文的计算设备组的用户执行的任务。 计算系统确定由特定上下文的计算设备组的用户执行任务的第一程度的可能性,并且确定由该组计算设备的用户执行的任务的第二程度的可能性 包括特定上下文和至少一个其他上下文的更广泛的上下文。 响应于确定第一似然度超过第二可能度阈值量,并且特定计算设备的当前上下文对应于特定上下文,计算系统向特定计算设备发送用于完成的信息 特定上下文的任务。

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