User interest discovery based on Web Usage Mining

摘要

According to the user's access sequence, whether clustering can extracte the effectively user's interest model is closely related to the algorithm of identifying user's access affairs and clustering. This paper fully consider the impact on user interest mining of the topology and order of web papers. So, this paper advanced AER algorithm, new similarity formula and FCR algorithm. Finally, this paper tested and verified the AER algorithm and FCR algorithm.