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New Technology of Library and Information Service  2008, Vol. 24 Issue (7): 86-90    DOI: 10.11925/infotech.1003-3513.2008.07.17
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An Ordering Method on Book Retrival Results Based on Reader’s Borrowing Information
Su Ju1   Wang Dong1   Xu Jianliang2
1(Library, Ocean University of China, Qingdao 266100,China)
2(College of Information Science and Engineering, Ocean University of China, Qingdao 266100,China)  
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Abstract  

 This paper proposes an ordering method on book retrival results based on reader’s borrowing information. Application in the library of Ocean University of China shows that it can provide the readers with better information service in library operation. The system improves the quality of service and gives great convenience to readers.

Key wordsOrdering Method      Computer retrieval      Data Mining     
Received: 11 March 2008      Published: 25 July 2008
ZTFLH: 

TP39

 
Corresponding Authors: Su Ju     E-mail: suju@ouc.edu.cn
About author:: Su Ju,Wang Dong,Xu Jianliang

Cite this article:

Su Ju,Wang Dong,Xu Jianliang. An Ordering Method on Book Retrival Results Based on Reader’s Borrowing Information. New Technology of Library and Information Service, 2008, 24(7): 86-90.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2008.07.17     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2008/V24/I7/86

[1] 谈大军,林明茵,叶赛. 中文Google和百度的排序方式与检索效率比较分析[J].现代情报,2005,25(3):87-89,92.
[2] 李航.SIGIR大会的新关键词[EB/OL]. [2008-03-01]. http://hi.baidu.com/piaopingnet/blog/item/ 6b8d97503beae86185352485.html.
[3] 张鲁,谭月辉,苏春萍,等. 数据挖掘技术在读者借阅行为分析中的应用[J]. 情报杂志. 2005,24(6):36-37.
[4] 孟雅凤.数据仓库与数据挖掘在图书管理系统中的研究与应用[D].吉林:吉林大学,2006.
[5] 周蓓.数据挖掘技术在图书馆系统中的应用研究[D].南京:东南大学,2006.
[6] Google 图书搜索支持中心[EB/OL].[2008-03-01]. http://books.google.cn/support/.
[7] CNKI:知识网络服务平台(KNS)5.0功能介绍[EB/OL].[2008-03-01]. http://lib.hnist.cn/kns50/knsinfo.aspx.
[8] 温嵘生, 邱春兰.基于OPAC 信息库图书借阅数据关联挖掘分析与应用[J].情报杂志,2007,26(7):61-63.

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