Study on Personalized Recommendation Based on Collaborative Filtering

被引：0

作者：

Wang, Taowei ^{[1
]}

Yang, Aimin ^{[1
]}

Ren, Yibo ^{[2
]}

机构：

[1] Zhejiang Wanli Univ, Comp Sci & Informat Technol Coll, Ningbo 315100, Zhejiang, Peoples R China

[2] Zhejiang Business Technol Inst, Dept Comp, Ningbo 315012, Peoples R China

来源：

CEA'09: PROCEEDINGS OF THE 3RD WSEAS INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND APPLICATIONS | 2009年

关键词：

Collaborative filtering; Personalized recommendation; Data preparation; Cluster algorithm;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：164 / +

页数：3

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