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Related Document Recommending Based on Weighted Association Rule Mining |
Chen Zuqin1 Zhang Huiling2 Ge Jike1 Zheng Hong1 |
1(Faculty of Computer and Information Science, Southwest University, Chongqing 400715,China)
2(Southwest University Library,Chongqing 400715,China) |
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Abstract This paper uses association rule mining algorithm to analyze the database and to recommend related document. Meanwhile, this paper proposes mixed weighted association rules that fit to recommend related document. This paper identifies the related document and the vertical weight by analyzing users’ behavior.The authors use the Google’s PageRank algorithm to define the documents’ horizontal weight and obtain some meaningful results.
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Received: 27 July 2007
Published: 25 October 2007
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Corresponding Authors:
Chen Zuqin
E-mail: daodao@swu.edu.cn
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About author:: Chen Zuqin,Zhang Huiling,Ge Jike,Zheng Hong |
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