Predicting the next application that you are going to use on aviate

    公开(公告)号:US09971972B2

    公开(公告)日:2018-05-15

    申请号:US14586635

    申请日:2014-12-30

    Applicant: Yahoo! Inc.

    CPC classification number: G06N99/005 H04L67/22 H04W4/029 H04W4/20

    Abstract: In one embodiment, a current context of a mobile device may be ascertained, where the current context includes an indication of a last application opened via the mobile device, wherein the last application opened is one of a plurality of applications installed on the mobile device. A probability, for each of the plurality of applications, that a user of the mobile device will use the corresponding application under the current context may be determined, where the probability for at least a portion of the plurality of applications is determined by applying a computer-generated model to the current context, wherein the computer-generated model is associated with the mobile device. One or more of the plurality of the applications may be identified based, at least in part, upon the probability, for each one of the plurality of applications, that the user of the mobile device will use the corresponding application.

    PREDICTING THE NEXT APPLICATION THAT YOU ARE GOING TO USE ON AVIATE
    3.
    发明申请
    PREDICTING THE NEXT APPLICATION THAT YOU ARE GOING TO USE ON AVIATE 有权
    预测您将在AVIATE上使用的下一个应用程序

    公开(公告)号:US20160189049A1

    公开(公告)日:2016-06-30

    申请号:US14586635

    申请日:2014-12-30

    Applicant: Yahoo! Inc.

    CPC classification number: G06N99/005 H04L67/22 H04W4/029 H04W4/20

    Abstract: In one embodiment, a current context of a mobile device may be ascertained, where the current context includes an indication of a last application opened via the mobile device, wherein the last application opened is one of a plurality of applications installed on the mobile device. A probability, for each of the plurality of applications, that a user of the mobile device will use the corresponding application under the current context may be determined, where the probability for at least a portion of the plurality of applications is determined by applying a computer-generated model to the current context, wherein the computer-generated model is associated with the mobile device. One or more of the plurality of the applications may be identified based, at least in part, upon the probability, for each one of the plurality of applications, that the user of the mobile device will use the corresponding application.

    Abstract translation: 在一个实施例中,可以确定移动设备的当前上下文,其中当前上下文包括通过移动设备打开的最后一个应用的指示,其中打开的最后一个应用是安装在移动设备上的多个应用中的一个。 可以针对多个应用程序中的每个应用程序确定移动设备的用户将在当前上下文下使用相应应用的概率,其中通过应用计算机来确定多个应用的​​至少一部分的概率 生成的模型与当前上下文相关联,其中计算机生成的模型与移动设备相关联。 至少部分地,可以基于多个应用中的每个应用的概率来识别多个应用中的一个或多个,即移动设备的用户将使用相应的应用。

    COMPUTERIZED SYSTEM AND METHOD FOR SEARCH QUERY AUTO-COMPLETION

    公开(公告)号:US20170091198A1

    公开(公告)日:2017-03-30

    申请号:US14869435

    申请日:2015-09-29

    Applicant: YAHOO! INC.

    CPC classification number: G06F17/3064 G06F17/30654 G06F17/30696 G06Q30/0256

    Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for determining and suggesting query auto-completions (QACs). In some embodiments, when a user is inputting a search query, the disclosed systems and methods can provide a QAC suggestion based on the inputted text in addition to application programs installed and/or executing on the user's device.

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