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.
browsing mode interest pheromone ant colony algorithm web log mining
Qinghua Liu Minghe Huang Bin Guo Na Chen
School of Software Jiangxi Normal University Nanchang, China
国际会议
太原
英文
394-397
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）