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 |