Research on personalized recommendation based on web usage mining using collaborative filtering technique
Taowei Wang, Ren Yi-bo · WSEAS Transactions on Information Science and Applications archive · 2009
Collaborative filtering is the most successful technology for building personalized recommendation system and is extensively used in many fields. This paper presents a system architecture of personalized recommendation using collaborative filtering based on web usage mining and describes detailedly data preparation process. To improve recommending quantity, a new personalized recommendaton model is proposed in which takes the good consideration of URL related analysis and combines the K-means algorithm. Experimental results show that our proposed model is effective and can enhance the performance of recommendation.