Study on personalized recommendation based on collaborative filtering
Authors: 
Taowei Wang, Aimin Yang, Yibo RenAuthors Info & Claims
Taowei Wang, Aimin Yang, Yibo RenAuthors Info & ClaimsPages 164 - 168
Abstract
Collaborative filtering is the most successful technology for building personalized recommendation system and is extensively used in many fields. In the paper, a system architecture of personalized recommendation using collaborative filtering based on web log is proposed and data preparation process is detailedly described. The paper also gives an improved k-means algorithm for clustering user transactions. Experimental results show that our proposed algorithm could increase recommendation precision.
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- Zhejiang Wanli University, Ningbo, China
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World Scientific and Engineering Academy and Society (WSEAS)
Stevens Point, Wisconsin, United States
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Published: 10 January 2009
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