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SORTED INBOX WITH IMPORTANT MESSAGE IDENTIFICATION BASED ON GLOBAL AND USER MODELS

机译:基于全局和用户模型的具有重要消息标识的已排序收件箱

摘要

A server system receives a message associated with a user. The server extracts message signals from the message, the extracted message signals including a first plurality of message signals. The server generates an importance weight for each message signal of the first plurality of message signals using both a global importance prediction model and a user importance prediction model. The global importance prediction model is based on information associated with multiple users, and the user importance prediction model is based on information associated with the user. The server determines an importance score for the message based on the generated importance weights of the first plurality of message signals. The server sends message information for the message along with information regarding importance of the message for display at a client device, where the information regarding importance of the message is based at least on the determined importance score.
机译:服务器系统接收与用户相关联的消息。服务器从消息中提取消息信号,所提取的消息信号包括第一多个消息信号。服务器使用全局重要性预测模型和用户重要性预测模型两者为第一多个消息信号中的每个消息信号生成重要性权重。全局重要性预测模型基于与多个用户关联的信息,而用户重要性预测模型基于与用户关联的信息。服务器基于所生成的第一多个消息信号的重要性权重来确定消息的重要性分数。服务器发送用于消息的消息信息以及关于消息的重要性的信息以供在客户端设备上显示,其中关于消息的重要性的信息至少基于所确定的重要性分数。

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