发明名称 Multi-tiered approach to E-mail prioritization
摘要 An apparatus for automating a prioritization of an incoming message, including a batch learning module that generates a global classifier based on training data that is input to the batch learning module. A feedback learning module that generates a user-specific classifier based on a plurality of feedback instances. A feature extraction module that receives the incoming message and a topic-based user model, infers a topic of the incoming message based on the topic-based user model, and computes a plurality of contextual features of the incoming message. A classification module that dynamically determines a priority classification strategy for assigning a priority level to the incoming message based on the plurality of contextual features of the incoming message and a weighted combination of the global classifier and the user-specific classifier, and classifies the incoming message based on the priority classification strategy.
申请公布号 US9152953(B2) 申请公布日期 2015.10.06
申请号 US201213525173 申请日期 2012.06.15
申请人 International Business Machines Corporation 发明人 Lai Jennifer C.;Lu Jie;Pan Shimei;Wen Zhen
分类号 G06F15/18;G06Q10/10;G06N5/00 主分类号 G06F15/18
代理机构 McGinn IP Law Group, PLLC 代理人 Dougherty, Esq. Anne V.;McGinn IP Law Group, PLLC
主权项 1. An apparatus, comprising: an input to receive an incoming message; at least one processor; and a memory tangibly embodying a set of instructions for automating a prioritization of the incoming message, the instructions comprising: a batch learning module that trains a global classifier using contextual features computed from a plurality of e-mail messages and a priority level assigned to each of the plurality of e-mail messages;a feedback learning module that dynamically trains a user-specific classifier based on a plurality of feedback instances provided by a user regarding a priority level of previous incoming e-mail messages to the user;a classification module that: dynamically assesses a message-specific quality of the user-specific classifier by matching contextual features of the incoming message against contextual features of the plurality of feedback instances provided by the user;selects a priority classification strategy from a plurality of priority classification strategies based on the assessed quality of the user-specific classifier, the priority classification strategy using at least one of the global classifier and the user-specific classifier;classifies the incoming message based on the selected priority classification strategy.
地址 Armonk NY US