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New Technology of Library and Information Service  2007, Vol. 2 Issue (10): 57-61    DOI: 10.11925/infotech.1003-3513.2007.10.13
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Related Document Recommending Based on Weighted Association Rule Mining
Chen Zuqin Zhang Huiling Ge Jike 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.

Key wordsData mining      Association rule      Weighted association rule      Algorithm      Related document recommending     
Received: 27 July 2007      Published: 25 October 2007
: 

TP391

 
Corresponding Authors: Chen Zuqin     E-mail: daodao@swu.edu.cn
About author:: Chen Zuqin,Zhang Huiling,Ge Jike,Zheng Hong

Cite this article:

Chen Zuqin,Zhang Huiling,Ge Jike,Zheng Hong. Related Document Recommending Based on Weighted Association Rule Mining. New Technology of Library and Information Service, 2007, 2(10): 57-61.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2007.10.13     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2007/V2/I10/57

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