PREDICTING THE FUTURE STATE OF A MOBILE DEVICE USER
    21.
    发明申请
    PREDICTING THE FUTURE STATE OF A MOBILE DEVICE USER 审中-公开
    预测移动设备用户的未来状态

    公开(公告)号:US20160366573A1

    公开(公告)日:2016-12-15

    申请号:US15246349

    申请日:2016-08-24

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a computing system receives an indication of current mobile device usage by a user. The user is also associated with one or more past user states that are accessible to the computing system. The computing system selects a future user state of the user based on a calculated probability of a possible future user state. The possible future user state is calculated based on the current mobile-device usage and the past user states. For each past user states, a weight based on a time delay factor is used. Based on the selected future user state, the operation of a mobile device of the user is adapted at the future time corresponding to the future user state.

    Abstract translation: 在一个实施例中,计算系统接收用户当前移动设备使用的指示。 用户还与计算系统可访问的一个或多个过去的用户状态相关联。 计算系统基于计算出的未来用户状态的概率来选择用户的未来用户状态。 可能的未来用户状态是基于当前的移动设备使用情况和过去的用户状态来计算的。 对于每个过去的用户状态,使用基于时间延迟因子的权重。 基于所选择的未来用户状态,对应于未来用户状态的将来的时间对用户的移动设备的操作进行调整。

    Native application testing
    22.
    发明授权
    Native application testing 有权
    本地应用程序测试

    公开(公告)号:US09305322B2

    公开(公告)日:2016-04-05

    申请号:US13948893

    申请日:2013-07-23

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes deploying an application to a plurality of client system, providing a treatment of the application to a set of client systems by receiving a request from the client system, determining whether the client system belongs in a treat group, remotely activating the treatment, and synchronizing activation of the treatment in response to subsequent requests, and receiving exposure data from the set of client system identifying exposure of the users to the treatment.

    Abstract translation: 在一个实施例中,一种方法包括将应用部署到多个客户端系统,通过接收来自客户端系统的请求,确定客户端系统是否属于对待组,远程地向客户端系统提供处理 激活治疗,以及响应于随后的请求同步治疗的激活,以及从识别用户对治疗的暴露的客户系统集合接收暴露数据。

    User experience/user interface based on interaction history

    公开(公告)号:US10481751B2

    公开(公告)日:2019-11-19

    申请号:US15231428

    申请日:2016-08-08

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes accessing a base user experience (UX) including a user interface (UI) corresponding to one or more features of a computing system; determining one or more user categories based at least in part on previous interactions with the UI by a number of users; classifying, using a machine-learning algorithm, a particular user into one or more of the user categories based at least in part on current interactions of the particular user with the UI; and determining, relative to the base UX, one or more modifications to the UI based at least in part on the classification of the particular user into one or more of the user categories. The modifications to the UI modify one or more features of the UX. The method also includes applying the modifications to the UI; and providing the UI as modified for display to the particular user.

    Suggesting Search Results to Users Before Receiving Any Search Query from the Users

    公开(公告)号:US20180293286A1

    公开(公告)日:2018-10-11

    申请号:US16003484

    申请日:2018-06-08

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes compiling one or more references to content items based on information known about a user stored in one or more object stores of a social-networking system. Each reference is associated with one or more call-to-action elements applicable to the content item associated with the reference. The call-to-action elements are selectable by the user to initiate the execution of an action modifying the related content item on the social-networking system. Modifying the related content item may include modifying metadata associated with the content item in one or more object stores of the social-networking system. The method includes sending, to a client device of the user after the user accesses a tool provided by the social-networking system, the references with their associated call-to-action elements for presentation to the user. The call-to-action elements are presented to the user in proximity to their associated references.

    User Experience/User Interface Based on Interaction History
    27.
    发明申请
    User Experience/User Interface Based on Interaction History 审中-公开
    基于互动历史的用户体验/用户界面

    公开(公告)号:US20160349938A1

    公开(公告)日:2016-12-01

    申请号:US15231428

    申请日:2016-08-08

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes accessing a base user experience (UX) including a user interface (UI) corresponding to one or more features of a computing system; determining one or more user categories based at least in part on previous interactions with the UI by a number of users; classifying, using a machine-learning algorithm, a particular user into one or more of the user categories based at least in part on current interactions of the particular user with the UI; and determining, relative to the base UX, one or more modifications to the UI based at least in part on the classification of the particular user into one or more of the user categories. The modifications to the UI modify one or more features of the UX. The method also includes applying the modifications to the UI; and providing the UI as modified for display to the particular user.

    Abstract translation: 在一个实施例中,一种方法包括访问包括与计算系统的一个或多个特征相对应的用户界面(UI)的基本用户体验(UX) 至少部分地基于许多用户与UI的先前交互来确定一个或多个用户类别; 至少部分地基于特定用户与UI的当前交互来将使用机器学习算法的特定用户分类为一个或多个用户类别; 以及至少部分地基于所述特定用户对一个或多个所述用户类别的分类来相对于所述基本UX来确定对所述UI的一个或多个修改。 对UI的修改修改了UX的一个或多个功能。 该方法还包括将修改应用于UI; 以及将UI修改为向特定用户显示。

    Predicting the future state of a mobile device user
    28.
    发明授权
    Predicting the future state of a mobile device user 有权
    预测移动设备用户的未来状态

    公开(公告)号:US09461902B2

    公开(公告)日:2016-10-04

    申请号:US14882739

    申请日:2015-10-14

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes receiving first data indicating a current usage of a mobile device by a user. The method includes accessing second data associated with past user states of the user, where each user state corresponds to a temporal, spatial, or modal accessibility of the user. A future user state of the user is determined based on a weighted set of predictor functions, each predictor function comprising a machine-learned algorithm for a particular user state. The probability of each user state is based on past user states of the second data, wherein each past user state is weighted by a decay factor based on the corresponding time. One of the user states is selected as the future user state, and the operation of the mobile device is adapted at a future time to account for that future user state.

    Abstract translation: 在一个实施例中,一种方法包括接收指示用户当前使用移动设备的第一数据。 该方法包括访问与用户的过去用户状态相关联的第二数据,其中每个用户状态对应于用户的时间,空间或模态可及性。 基于预测器功能的加权集合来确定用户的未来用户状态,每个预测器功能包括用于特定用户状态的机器学习算法。 每个用户状态的概率基于第二数据的过去用户状态,其中每个过去的用户状态基于对应的时间由衰减因子加权。 选择其中一个用户状态作为将来的用户状态,并且移动设备的操作在未来的时间被调整以考虑未来的用户状态。

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