Posts and Telecommunications Institute of Technology Hanoi

Hanoi, Vietnam

Posts and Telecommunications Institute of Technology Hanoi

Hanoi, Vietnam
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Dinh Q.-D.,Hanoi University | Anh-Tran Q.,Posts and Telecommunications Institute of Technology Hanoi
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST | Year: 2017

Email overload, even after spam filtering, causes waste of time and reduction of work efficiency to email users. Email prioritization is the general solution for the problem. The idea is to sort incoming emails in a decreasing order of importance so that the most important messages are read and processed first and less significant ones later, if there is enough time. This paper proposed a method to predict the action that a user would take on an email. The method is based on SpamAssassin, a famous spam filter framework. Instead of classifying emails as spam and ham (non-spam message), this method is used to predict amongst the three most common actions: reply, read and delete. Experiments are conducted to measure the effectiveness of the new method on a dataset built by the authors. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017.

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