Fuzzy category and fuzzy interest for web user understanding

Authors:
SiHun Lee;Jee-Hyong Lee;Keon-Myung Lee;Hee Yong Youn
Affiliations:
School of Information and Communication Eng., Sungkyunkwan University, Korea;School of Information and Communication Eng., Sungkyunkwan University, Korea;School of Electric and Computer Eng., Chungbuk National University, Korea;School of Information and Communication Eng., Sungkyunkwan University, Korea
Venue:
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
Year:
2005

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Abstract

Web usage mining is a research field for searching potentially useful and valuable information from web log file. Web log file is a simple list of pages that users refer. Therefore, it is not easy to analyze user's current interest field from web log file. This paper presents web usage mining method for finding users' current interest based on Fuzzy category. We consider not only how many times a user visits pages but also when he visits. We describe a user's current interest with a fuzzy interest degree to categories. Based on fuzzy categories and fuzzy interest degrees, we also propose a method for understanding web users. For this, we define the category vector space. We also present experiment results which shows how our method helps to understand web users.