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GRAYMAIL FILTERING BASED ON USER PREFERENCES

机译:基于用户偏好的灰色邮件过滤

摘要

A graymail detection and filtering system predicts whether a user will consider an email to be graymail using a classifier model based on features extracted from the email. The email is labelled as graymail or non-graymail based on the prediction. User actions are tracked on the email to determine whether the user actually considered the email to be graymail or non-graymail and the classifier model is trained using machine learning techniques to improve the prediction, without requiring explicit user feedback on whether the user considered the email to be graymail or non-graymail.
机译:灰邮件检测和过滤系统使用分类器模型基于从电子邮件中提取的特征来预测用户是否会将电子邮件视为灰邮件。根据预测,电子邮件被标记为灰色邮件或非灰色邮件。在电子邮件上跟踪用户操作,以确定用户实际上是将电子邮件视为灰色邮件还是非灰色邮件,并且使用机器学习技术来训练分类器模型以改进预测,而无需用户明确反馈用户是否认为电子邮件是灰色邮件还是非灰色邮件。

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