International Journal of Fuzzy Logic and Intelligent Systems

  • 제5권1호
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  • Pages.88-93
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  • 2005
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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User modeling based on fuzzy category and interest for web usage mining

  • Lee, Si-Hun (School of ICE, Dept of ECE Sungkyunkwan University) ;
  • Lee, Jee-Hyong (School of ICE, Dept of ECE Sungkyunkwan University)
  • 발행 : 2005.03.01
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초록

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 categories. 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 to cluster users according to their interests for user modeling. For user clustering, we define a category vector space. Experiments show that our method properly reflects the time factor of users' web visiting as well as the users' visit number.

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참고문헌

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