Research on Applying Optimized Ant Colony Algorithm in the User Traversal Interest Paths

摘要

With the rapid development of Internet, how to accurately understand the behavior of users on visiting the Web site is a pressing issue, it belongs to Web data mining. To find the user traversal interest path is an important research field, in this paper, a new algorithm based on optimized ACA is proposed. The main idea of this algorithm is: The Web users are regarded as artificial ants, and user's navigation patterns can be found by optimized ACA. First, a Web site model is built, then, their preferred navigation paths are found on use of optimized ACA. Experimental results show that the method can accurately reflect the user's traversal interest paths.