Research on browsing pattern of group users based on ACO
Qinghua Liu, Minghe Hua, Bin Guo, Na Chen · 2010
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.