Design and Implementation of Web Mail Filtering Agent for Personalized Classification


The KIPS Transactions:PartB , Vol. 10, No. 7, pp. 853-862, Dec. 2003
10.3745/KIPSTB.2003.10.7.853,   PDF Download:

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 Web Mail Filtering Agent for Personalized Classification, which automatically manages mails adjusting to the user. It is based on web mail, which can be logged in any time, 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. And, we applied Bayesian Algorithm using Dynamic Threshold for our system´s accuracy.


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Cite this article
[IEEE Style]
J. O. Lan and J. D. Seob, "Design and Implementation of Web Mail Filtering Agent for Personalized Classification," The KIPS Transactions:PartB , vol. 10, no. 7, pp. 853-862, 2003. DOI: 10.3745/KIPSTB.2003.10.7.853.

[ACM Style]
Jeong Og Lan and Jo Dong Seob. 2003. Design and Implementation of Web Mail Filtering Agent for Personalized Classification. The KIPS Transactions:PartB , 10, 7, (2003), 853-862. DOI: 10.3745/KIPSTB.2003.10.7.853.