首页> 外国专利> SYSTEMS AND METHODS FOR ESTIMATING USER JUDGMENT BASED ON PARTIAL FEEDBACK AND APPLYING IT TO MESSAGE CATEGORIZATION

SYSTEMS AND METHODS FOR ESTIMATING USER JUDGMENT BASED ON PARTIAL FEEDBACK AND APPLYING IT TO MESSAGE CATEGORIZATION

机译:基于部分反馈评估用户判断并将其应用于消息分类的系统和方法

摘要

Messages in a first and second plurality of messages are respectively classified using a first and second classifier into message categories in a set of message categories, with messages in the first and second plurality of messages being associated with message reputation carriers in a plurality of message reputation carriers. The classified messages are delivered to recipients and message category correction events are collected. Correction weights are determined for correction types associated with the set of message categories using the initial message categorizations and the category correction events. At least a subset of the calculated correction weights is used to determine a probability or likelihood that a particular message reputation carrier in the plurality of carriers is associated with a first message category in the set of message categories. The particular carrier is whitelisted to the first message category when the calculated probability or likelihood satisfies a whitelisting criterion.
机译:使用第一和第二分类器分别将第一多个消息和第二多个消息中的消息分类为一组消息类别中的消息类别,其中第一多个消息和第二多个消息中的消息与多个消息信誉中的消息信誉载体相关联运营商。分类的邮件将传递给收件人,并收集邮件类别更正事件。使用初始消息分类和类别校正事件,为与消息类别集合相关联的校正类型确定校正权重。所计算的校正权重的至少一个子集用于确定多个载波中的特定消息信誉载波与消息类别集中的第一消息类别相关联的概率或可能性。当计算出的概率或似然性满足白名单标准时,将特定载体列入第一条消息类别。

著录项

  • 公开/公告号US2016156579A1

    专利类型

  • 公开/公告日2016-06-02

    原文格式PDF

  • 申请/专利权人 GOOGLE INC.;

    申请/专利号US201414557307

  • 发明设计人 TOBIAS KAUFMANN;

    申请日2014-12-01

  • 分类号H04L12/58;

  • 国家 US

  • 入库时间 2022-08-21 14:34:22

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