Research of Personalized Recommendation System Based on Web Usage Learning
Tian Zhen-qing · Neimenggu Shi-da xuebao. Zhexue shehui kexue hanwen ban · 2009
Web usage learning can stimulate learning interest and construct users' interest model.According to the similarity of users interests based on interest point,this paper clusters student users with similarity interests and realizes the personalized recommendation system.The experimental results indicate that the personalized recommendation system based on user's interest model has high accuracy,novelty and non-expected rate.