Predicting demographic information of an online system user based on online system login status

    公开(公告)号:US10242385B2

    公开(公告)日:2019-03-26

    申请号:US14808298

    申请日:2015-07-24

    Applicant: Facebook, Inc.

    Abstract: An online system using attributes of users to select content for presentation to the users predicts one or more attributes of users whose attributes are unavailable to the online system. For a user with one or more attributes unavailable to the online system, the online system applies a model to attributes of additional users to predict one or more attributes of the user. Attributes of the additional user use in the prediction may include demographic information and interactions with content by the additional users. The online system may determine an accuracy of the model by using the model to predict attributes for users whose attributes are known to the online system and comparing the predicted attributes to the known attributes. If the model's accuracy is less than a threshold value, the online system discontinues using the model to predict attributes of users.

    PREDICTING DEMOGRAPHIC INFORMATION OF AN ONLINE SYSTEM USER BASED ON ONLINE SYSTEM LOGIN STATUS
    3.
    发明申请
    PREDICTING DEMOGRAPHIC INFORMATION OF AN ONLINE SYSTEM USER BASED ON ONLINE SYSTEM LOGIN STATUS 审中-公开
    基于在线系统登录状态的在线系统用户的人脸统计信息预测

    公开(公告)号:US20170024770A1

    公开(公告)日:2017-01-26

    申请号:US14808298

    申请日:2015-07-24

    Applicant: Facebook, Inc.

    Abstract: An online system using attributes of users to select content for presentation to the users predicts one or more attributes of users whose attributes are unavailable to the online system. For a user with one or more attributes unavailable to the online system, the online system applies a model to attributes of additional users to predict one or more attributes of the user. Attributes of the additional user use in the prediction may include demographic information and interactions with content by the additional users. The online system may determine an accuracy of the model by using the model to predict attributes for users whose attributes are known to the online system and comparing the predicted attributes to the known attributes. If the model's accuracy is less than a threshold value, the online system discontinues using the model to predict attributes of users.

    Abstract translation: 使用用户属性选择呈现给用户的内容的在线系统预测其属性对在线系统不可用的一个或多个用户的属性。 对于具有在线系统不可用的一个或多个属性的用户,在线系统将模型应用于附加用户的属性以预测用户的一个或多个属性。 预测中附加用户使用的属性可以包括人口统计信息和附加用户与内容的交互。 在线系统可以通过使用模型来预测模型的精度来预测其属性对在线系统已知的用户的属性,并将预测属性与已知属性进行比较。 如果模型的准确度小于阈值,则在线系统将停止使用模型来预测用户的属性。

    Predicting demographic information of an online system user based on online system login status

    公开(公告)号:US11062361B1

    公开(公告)日:2021-07-13

    申请号:US16269408

    申请日:2019-02-06

    Applicant: Facebook, Inc.

    Abstract: An online system using attributes of users to select content for presentation to the users predicts one or more attributes of users whose attributes are unavailable to the online system. For a user with one or more attributes unavailable to the online system, the online system applies a model to attributes of additional users to predict one or more attributes of the user. Attributes of the additional user use in the prediction may include demographic information and interactions with content by the additional users. The online system may determine an accuracy of the model by using the model to predict attributes for users whose attributes are known to the online system and comparing the predicted attributes to the known attributes. If the model's accuracy is less than a threshold value, the online system discontinues using the model to predict attributes of users.

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