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New Technology of Library and Information Service  2010, Vol. 26 Issue (2): 79-84    DOI: 10.11925/infotech.1003-3513.2010.02.14
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A Fast Personalized Bibliographic Recommendation Method
Xu Jiali1   Chen Jia2
1(School of Electronic and Information Engineering, Chengdu University,Chengdu 610106,China)
2(School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054,China)
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Abstract  

Aimed at the shortcomings of the bibliographic recommended methods in digital library, a Fast Personalized Bibliographic Recommendation Method(FPBRM) is proposed. By using the technologies of matrix vector and compression, the method improves Apriori algorithm that it can enhance the efficiency of data mining.Then the correlation between the books can be mined from the loan records by using the Improved Apriori Algorithm(IAA),which can provide personalized bibliographic recommendation for the readers. Finally，the simulation results show the effectiveness of the method.
Key words： Digital library      Personalized recommendation      Apriori     
Received: 09 January 2010      Published: 25 February 2010
: 

TP391

 		 
Corresponding Authors: Xu Jiali     E-mail: lotussunnyx@163.com
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Cite this article:

Xu Jiali,Chen Jia. A Fast Personalized Bibliographic Recommendation Method. New Technology of Library and Information Service, 2010, 26(2): 79-84.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2010.02.14     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2010/V26/I2/79

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