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.
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Kim, D., Choi, W., Seo, B., Seo, J., Hwang, B. (2005). Automatic Knowledge Recommending System Using E-Mail. In: Bauknecht, K., Pröll, B., Werthner, H. (eds) E-Commerce and Web Technologies. EC-Web 2005. Lecture Notes in Computer Science, vol 3590. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11545163_12
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DOI: https://doi.org/10.1007/11545163_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28467-3
Online ISBN: 978-3-540-31736-4
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