Automatic knowledge recommending system using e-mail

  • Authors:
  • DooHyun Kim;WonHyuck Choi;BurmSuk Seo;JungGoo Seo;ByoungWon Hwang

  • Affiliations:
  • School of Electronics, Telecommunication and Computer Engineering, Hankuk Aviation University, Goyang-City, Gyeonggi-Do, Korea;School of Electronics, Telecommunication and Computer Engineering, Hankuk Aviation University, Goyang-City, Gyeonggi-Do, Korea;School of Electronics, Telecommunication and Computer Engineering, Hankuk Aviation University, Goyang-City, Gyeonggi-Do, Korea;School of Electronics, Telecommunication and Computer Engineering, Hankuk Aviation University, Goyang-City, Gyeonggi-Do, Korea;School of Electronics, Telecommunication and Computer Engineering, Hankuk Aviation University, Goyang-City, Gyeonggi-Do, Korea

  • Venue:
  • EC-Web'05 Proceedings of the 6th international conference on E-Commerce and Web Technologies
  • Year:
  • 2005

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Abstract

This paper suggests Knowledge Management System(KMS) using E-mail. When KMS is constructed through E-mail, the cost of service construction and the education of users are almost unnecessary. We use user profile in order to provide Automatic Knowledge Recommending System(AKRS) based on user's preference. In addition, this paper proposes E-mail classification method and automatic knowledge recommending method. We conducted an experiment to evaluate AKRS effectiveness of these methods. From the result of the experiment, we draw conclusions that user can use easily knowledge without special search.