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    • 4. 发明申请
    • SYSTEMS AND METHODS FOR ESTIMATING USER JUDGMENT BASED ON PARTIAL FEEDBACK AND APPLYING IT TO MESSAGE CATEGORIZATION
    • 基于部分反馈估计用户判断并应用于消息分类的系统和方法
    • US20160156579A1
    • 2016-06-02
    • US14557307
    • 2014-12-01
    • Google Inc.
    • Tobias Kaufmann
    • H04L12/58
    • H04L51/22H04L51/12
    • 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.
    • 第一和第二多个消息中的消息分别使用第一和第二分类器分组成一组消息类别中的消息类别,第一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 承运人 分类的消息被传递给收件人,并且收集消息类别校正事件。 使用初始消息分类和类别校正事件来确定与消息类别集合相关联的校正类型的校正权重。 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体与该组消息类别中的第一消息类别相关联的概率或可能性。 当所计算的概率或似然率满足白名单准则时,特定载波被列入第一消息类别。