Abstract: In the advance of e-commerce,it is an urgent problem how to understand the users access behaviors in the web site accurately.web usage mining is an important research approach for this problem.As an important research field of web usage mining,mining users interest navigation patterns is the fundamental approach for optimizing the frame design of web site.In this paper,we consider the web users as artificial ants,and use the ant colony approach for users navigation patterns.Firstly,a web site model is built.Secondly,a navigation model is established based on ant colony approach and web logs.Finally,we design an algorithm regarding all users as entity for mining their preferred navigation paths.Experiment showed that it is accurate for users browsing interest patterns.

Key words: web usage mining, interest navigation patterns, ant colony optimization, users navigation model