Research on browsing pattern of group users based on ACO

It is urgent to solve the problem of how to accurately understand users´ behaviors of visiting websites in the development of e-commerce. Web log mining is an important research method in addressing the problem. In this paper, we propose the new concept of interest pheromone, and on the basis of which design a group users´ navigation path mining algorithm based on ant colony algorithm. The experimental result shows that interest pheromone can efficiently track users´ changes of interests. It can accurately reflect users´ browsing mode when introduced in the algorithm of the paper.