Generating a training model based on feedback

    公开(公告)号:US11132618B2

    公开(公告)日:2021-09-28

    申请号:US15372821

    申请日:2016-12-08

    Abstract: A method and apparatus for generating a training model based on feedback are provided. The method for generating a training model based on feedback, includes calculating an eigenvector of a sample among a plurality of samples; obtaining scores granted by a user for one or more of the plurality of samples in a round, obtaining scores granted by the user for a first number of samples; obtaining scores granted by the user for a second number of samples in response to detecting, based on the eigenvector, an inconsistency between the scores granted by the user for the first number of samples; and generating a training model based on the scores granted by the user for the first and second numbers of samples. A corresponding apparatus is also provided.

    Generating a training model based on feedback

    公开(公告)号:US10346746B2

    公开(公告)日:2019-07-09

    申请号:US14055387

    申请日:2013-10-16

    Abstract: A method and apparatus for generating a training model based on feedback are provided. The method for generating a training model based on feedback, includes calculating an eigenvector of a sample among a plurality of samples; obtaining scores granted by a user for one or more of the plurality of samples in a round, obtaining scores granted by the user for a first number of samples; obtaining scores granted by the user for a second number of samples in response to detecting, based on the eigenvector, an inconsistency between the scores granted by the user for the first number of samples; and generating a training model based on the scores granted by the user for the first and second numbers of samples. A corresponding apparatus is also provided.

    GENERATING A TRAINING MODEL BASED ON FEEDBACK
    5.
    发明申请
    GENERATING A TRAINING MODEL BASED ON FEEDBACK 有权
    根据反馈生成培训模型

    公开(公告)号:US20150074021A1

    公开(公告)日:2015-03-12

    申请号:US14025208

    申请日:2013-09-12

    Abstract: A method and apparatus for generating a training model based on feedback are provided. The method for generating a training model based on feedback, includes calculating an eigenvector of a sample among a plurality of samples; obtaining scores granted by a user for one or more of the plurality of samples in a round, obtaining scores granted by the user for a first number of samples; obtaining scores granted by the user for a second number of samples in response to detecting, based on the eigenvector, an inconsistency between the scores granted by the user for the first number of samples; and generating a training model based on the scores granted by the user for the first and second numbers of samples. A corresponding apparatus is also provided.

    Abstract translation: 提供了一种基于反馈产生训练模型的方法和装置。 基于反馈生成训练模型的方法包括计算多个样本中的样本的特征向量; 获得由用户为一个或多个所述多个样本在一轮中授予的分数,获得由用户为第一数量的样本授予的分数; 响应于基于特征向量检测用户对于第一数量样本的分数的不一致性,获得用户对于第二数量样本所授予的分数; 以及基于用户为第一和第二数量样本授予的分数生成训练模型。 还提供了相应的装置。

    GENERATING A TRAINING MODEL BASED ON FEEDBACK

    公开(公告)号:US20170236058A1

    公开(公告)日:2017-08-17

    申请号:US15584771

    申请日:2017-05-02

    Abstract: A method and apparatus for generating a training model based on feedback are provided. The method for generating a training model based an feedback, includes calculating an eigenvector of a sample among a plurality of samples; obtaining scores granted by a user for one or more of the plurality of samples in a round, obtaining scores granted by the user for a first number of samples; obtaining scores granted by the user for a second number of samples in response to detecting, based on the eigenvector, an inconsistency between the scores granted by the user for the first number of samples; and generating a training model based on the scores granted by the user for the first and second numbers of samples. A corresponding apparatus is also provided.

    GENERATING A TRAINING MODEL BASED ON FEEDBACK

    公开(公告)号:US20170091676A1

    公开(公告)日:2017-03-30

    申请号:US15372821

    申请日:2016-12-08

    CPC classification number: G06N5/02 G06N20/00

    Abstract: A method and apparatus for generating a training model based on feedback are provided. The method for generating a training model based on feedback, includes calculating an eigenvector of a sample among a plurality of samples; obtaining scores granted by a user for one or more of the plurality of samples in a round, obtaining scores granted by the user for a first number of samples; obtaining scores granted by the user for a second number of samples in response to detecting, based on the eigenvector, an inconsistency between the scores granted by the user for the first number of samples; and generating a training model based on the scores granted by the user for the first and second numbers of samples. A corresponding apparatus is also provided.

    GENERATING A TRAINING MODEL BASED ON FEEDBACK
    8.
    发明申请
    GENERATING A TRAINING MODEL BASED ON FEEDBACK 审中-公开
    根据反馈生成培训模型

    公开(公告)号:US20140046893A1

    公开(公告)日:2014-02-13

    申请号:US14055387

    申请日:2013-10-16

    CPC classification number: G06N20/00 G06N5/02

    Abstract: A method and apparatus for generating a training model based on feedback are provided. The method for generating a training model based on feedback, includes calculating an eigenvector of a sample among a plurality of samples; obtaining scores granted by a user for one or more of the plurality of samples in a round, obtaining scores granted by the user for a first number of samples; obtaining scores granted by the user for a second number of samples in response to detecting, based on the eigenvector, an inconsistency between the scores granted by the user for the first number of samples; and generating a training model based on the scores granted by the user for the first and second numbers of samples. A corresponding apparatus is also provided.

    Abstract translation: 提供了一种基于反馈产生训练模型的方法和装置。 基于反馈生成训练模型的方法包括计算多个样本中的样本的特征向量; 获得由用户为一个或多个所述多个样本在一轮中授予的分数,获得由用户为第一数量的样本授予的分数; 响应于基于特征向量检测用户对于第一数量样本所给出的分数之间的不一致性,获得用户对第二数量样本所授予的分数; 以及基于用户为第一和第二数量样本授予的分数生成训练模型。 还提供了相应的装置。

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