|저자||Si-Hun Lee, Jee-Hyong Lee, Keon Myung Lee, and Hee Yong Youn|
|논문지||International Conference on Computational Science and Its Applications (ICCSA 2005)|
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.