ADAPTIVE USER INTERFACE USING MACHINE LEARNING MODEL
    1.
    发明申请
    ADAPTIVE USER INTERFACE USING MACHINE LEARNING MODEL 有权
    使用机器学习模式的自适应用户界面

    公开(公告)号:US20140075336A1

    公开(公告)日:2014-03-13

    申请号:US13612554

    申请日:2012-09-12

    CPC classification number: G06F3/0481 G06N99/005 H04L41/22

    Abstract: Techniques for social networking systems and methods for testing and applying user interfaces are disclosed herein. The method includes steps of presenting a user interface including a new user interface feature to a group of test users, collecting response data from the test users experiencing the user interface, performing analytics on the response data, and determining at least one interface rule of applying user interface features for a user depending on one or more user attributes of the user based on the analytics using a machine learning model.

    Abstract translation: 本文公开了用于社交网络系统的技术以及用于测试和应用用户界面的方法。 该方法包括以下步骤:向一组测试用户呈现包括新的用户界面特征的用户界面,从经历用户界面的测试用户收集响应数据,对响应数据执行分析,以及确定应用的至少一个接口规则 根据使用机器学习模型的分析,取决于用户的一个或多个用户属性的用户的用户界面特征。

    Adaptive user interface using machine learning model
    2.
    发明授权
    Adaptive user interface using machine learning model 有权
    自适应用户界面使用机器学习模型

    公开(公告)号:US09405427B2

    公开(公告)日:2016-08-02

    申请号:US13612554

    申请日:2012-09-12

    CPC classification number: G06F3/0481 G06N99/005 H04L41/22

    Abstract: Techniques for social networking systems and methods for testing and applying user interfaces are disclosed herein. The method includes steps of presenting a user interface including a new user interface feature to a group of test users, collecting response data from the test users experiencing the user interface, performing analytics on the response data, and determining at least one interface rule of applying user interface features for a user depending on one or more user attributes of the user based on the analytics using a machine learning model.

    Abstract translation: 本文公开了用于社交网络系统的技术以及用于测试和应用用户界面的方法。 该方法包括以下步骤:向一组测试用户呈现包括新的用户界面特征的用户界面,从经历用户界面的测试用户收集响应数据,对响应数据执行分析,以及确定应用的至少一个接口规则 根据使用机器学习模型的分析,取决于用户的一个或多个用户属性的用户的用户界面特征。

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