Personalized filtering agent for e-mail classification

Abstract

Many more use e-mail purely on a personal basis and the pool of e-mail users is growing daily. Also, the amount of mails, which are transmitted in electronic commerce, is getting more and more. Because of its convenience, a mass of Spam mails is flooding everyday. And yet, automated techniques for learning to filter e-mail have yet to significantly affect the e-mail market. This paper suggests Personalized Filtering Agent for E-Mail classification, which automatically manages mails adjusting to the user. It is based on Web Mail, which can be logged in any time and any place and has no limitation in any system. In case new mails are received, it first makes some personal rules in use of the result of observation; and based on the personal rules, it automatically classifies the mails into categories according to the contents of mails and saves the classified mails in the relevant folders or deletes the unnecessary mails and Spam mails.