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Transactions: WSEAS TRANSACTIONS ON ELECTRONICS
Transactions ID Number: 31-877
Full Name: Taowei Wang
Position: Professor
Age: ON
Sex: Female
Address: No.8 South Qian Hu Road Ningbo
Country: CHINA
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E-mail address: twwangnb@tom.com
Other E-mails: gaoyibo@gmail.com
Title of the Paper: Research on Personalized Recommendation Based on Web Usage Mining Using Collaborative Filtering Technique
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Number of paper pages: 10
Abstract: 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.
Keywords: Collaborative filtering, Personalized recommendation, Web usage mining, Data preparation, Cluster algorithm, Similarity
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