User interest modeling based on browsing behavior

Based on the combination of five user minimum browsing behaviors, this paper focuses on a comprehensive analysis of the quantitative relations between the user browsing time and the user interest rate, and proposed a new method of calculating degree of thematic interest, this method is based on association rule. Obtain user´s interest by fuzzy clustering algorithm, and establish user interest model. The experiments confirm that the method of calculating user interest rate is reasonable and effective, the user interest model responses user interest exactly, and have been effectively used in personalized service.