A rule filtering component based on recommendation agent system for classifying email document

Abstract

The increased use of Internet generalizes the use of e-mail, a medium for information exchange. E-mail is used not only for individual purposes but also in a variety of purposes that users have to process significant volume. In this study, we propose a recommendation agent system the enable users for direct and optimal classification with the recommendation of the applicable category when a mail arrives as a way of efficient management of e-mail. For this purpose, three pre-processing algorithms are suggested for accurate classification, the core part of this study, and, it considers the scalability and reusability with the major filtering part is based on the rule-filtering component.