Systems and Methods for Generating a Message Topic Training Dataset from User Interactions in Message Clients
    2.
    发明申请
    Systems and Methods for Generating a Message Topic Training Dataset from User Interactions in Message Clients 审中-公开
    用于从消息客户端中的用户交互生成消息主题训练数据集的系统和方法

    公开(公告)号:US20160149849A1

    公开(公告)日:2016-05-26

    申请号:US14555312

    申请日:2014-11-26

    Applicant: GOOGLE INC.

    CPC classification number: H04L51/22 H04L51/34 H04W4/12

    Abstract: Systems and methods for classifying messages are provided. Each message in a plurality of messages is classified, thereby independently identifying a message category in a set of message categories for each respective message in the plurality of messages. The plurality of messages is delivered to a plurality of recipients with a designation of the message category of each respective message in the first plurality of messages. A plurality of recipient initiated message interaction events for messages in the first plurality of messages over a predetermined period of time is collected from the plurality of recipients. A message categorization dataset is then constructed from (i) the first plurality of messages, (ii) the designation of the message category of each respective message in the subset of the first plurality of messages, and (iii) the plurality of recipient initiated message interaction events. This message categorization dataset is used to train or evaluate a message classifier.

    Abstract translation: 提供了分类消息的系统和方法。 对多个消息中的每个消息进行分类,从而独立地识别多个消息中的每个相应消息的一组消息类别中的消息类别。 多个消息在第一组多个消息中以每个相应消息的消息类别的指定被传送到多个接收者。 从多个接收者收集用于在预定时间段内的第一组多个消息中的消息的多个接收者发起的消息交互事件。 然后,从(i)第一多个消息,(ii)在第一多个消息的子集中指定每个相应消息的消息类别,以及(iii)多个接收方发起的消息来构建消息分类数据集 互动事件 该消息分类数据集用于训练或评估消息分类器。

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