公开(公告)号：US20170005962A1

公开(公告)日：2017-01-05

申请号：US14755518

申请日：2015-06-30

Applicant: YAHOO! INC.

Inventor： Liane Lewin-Eytan ,  Guy Halawi ,  Dotan Di Castro ,  Zohar Karnin ,  Yoelle Maarek ,  Michael Albers

IPC: H04L12/58

CPC classification number: H04L51/12

Abstract: As is disclosed herein, user behavior in connection with a number of electronic messages, such as electronic mail (email) messages, can be used to automatically learn from, and predict, whether a message is wanted or unwanted by the user, where an unwanted message is referred to herein as gray spam. A gray spam predictor is personalized for a given user in vertical learning that uses the user's electronic message behavior and horizontal learning that uses other users' message behavior. The gray spam predictor can be used to predict whether a new message for the user is, or is not, gray spam. A confidence in a prediction may be used in determining the disposition of the message, such as and without limitation placing the message in a spam folder, a gray spam folder and/or requesting input from the user regarding the disposition of the message, for example.

Abstract translation: 如本文所公开的，与诸如电子邮件（电子邮件）消息的多个电子消息相关联的用户行为可以用于自动学习和预测消息是否被用户想要或不想要的，其中不期望的 消息在本文中称为灰色垃圾邮件。 对于垂直学习中的给定用户，使用用户的电子消息行为和使用其他用户的消息行为的横向学习，灰色垃圾邮件预测器是个性化的。 灰色垃圾邮件预测器可用于预测用户的新消息是否为灰色垃圾邮件。 预测的置信度可以用于确定消息的布置，例如但不限于将消息放置在垃圾邮件文件夹，灰色垃圾邮件文件夹中和/或从用户请求关于消息的处理的请求输入，例如 。