LANGUAGE PROFICIENCY DETECTION IN SOCIAL APPLICATIONS
    1.
    发明申请
    LANGUAGE PROFICIENCY DETECTION IN SOCIAL APPLICATIONS 审中-公开
    社会应用语言专业检测

    公开(公告)号:US20140335483A1

    公开(公告)日:2014-11-13

    申请号:US13892842

    申请日:2013-05-13

    Applicant: GOOGLE INC.

    CPC classification number: G09B5/08 G06Q50/01

    Abstract: Social networking applications may be improved by incorporating a user's language proficiency to make content suggestions to the user. A language preference of a user, which may represent one of a plurality of signals, may be received. A signal may be, for example, an online activity of the user, a text generated or received by the user, or content requested by the user. At least one of the plurality of signals may be analyzed using a machine learning program. A machine learning program may be trained on data for a test group of users with a known language proficiency. A user-assigned language proficiency may be incorporated as a signal in training a machine learning program. The language proficiency of the user may be determined based upon the analysis of at least one of the plurality of signals. Content may be presented to the user based upon the language proficiency of the user.

    Abstract translation: 可以通过结合用户的语言能力来向用户提供内容建议来改善社交网络应用。 可以接收可以表示多个信号之一的用户的语言偏好。 信号可以是例如用户的在线活动,由用户生成或接收的文本或用户请求的内容。 可以使用机器学习程序来分析多个信号中的至少一个。 机器学习程序可以针对具有已知语言能力的用户的测试组的数据进行培训。 用户指定的语言能力可以作为训练机器学习程序的信号。 可以基于对多个信号中的至少一个的分析来确定用户的语言能力。 内容可以基于用户的语言熟练度呈现给用户。

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