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| Mining Web User Browsing Patterns in Fuzzy Environment |
| WU Rui |
| School of Mathematics and Computer Science, Shanxi Normal University, Linfen 041004 |
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Abstract In this paper, the concepts of weighted support and preference are proposed to reflect user interests accurately. Linguistic evaluations on a web page given by experts are characterized as fuzzy linguistic variables. These fuzzy linguistic variables can be transformed as an importance weight of a web page by fuzzy simulation. To avoid loss of important user browsing information, FLAAT (frequent link and access tree) is built to save all user browsing information. Then user preferred browsing patterns can be mined from the FLAAT. In addition, time duration on web page is another important factor reflecting user interests and preference, which is also denoted by a corresponding fuzzy linguistic variable. Experimental results show the gained user preferred patterns with fuzzy time duration reflect user interests and preference more accurately.
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Received: 30 March 2006
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2007, Vol. 20 
