Please wait a minute...
New Technology of Library and Information Service  2008, Vol. 24 Issue (7): 86-90    DOI: 10.11925/infotech.1003-3513.2008.07.17
Current Issue | Archive | Adv Search |
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)  
Export: BibTeX | EndNote (RIS)      

 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


Corresponding Authors: Su Ju     E-mail:
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:     OR

[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]. 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].
[7] CNKI:知识网络服务平台(KNS)5.0功能介绍[EB/OL].[2008-03-01].
[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.

[1] Xie Wang, Wang Lizhen, Chen Hongmei, Zeng Lanqing. Identifying Relationship Between Pollution Sources and Cancer Cases with Spatial Ordered Pair Patterns[J]. 数据分析与知识发现, 2021, 5(2): 14-31.
[2] Yong Zhang,Shuqing Li,Yongshang Cheng. Mining Algorithm for Weighted Association Rules Based on Frequency Effective Length[J]. 数据分析与知识发现, 2019, 3(7): 85-93.
[3] Quan Lu,Anqi Zhu,Jiyue Zhang,Jing Chen. Research on User Information Requirement in Chinese Network Health Community: Taking Tumor-forum Data of Qiuyi as an Example[J]. 数据分析与知识发现, 2019, 3(4): 22-32.
[4] Dongmei Mu,Hui Fa,Ping Wang,Jing Sun. Research on Disease Risk Factors on Structural Equation Model[J]. 数据分析与知识发现, 2019, 3(4): 80-89.
[5] Li Yongnan. Using Bayes Theory to Classify Counter Terrorism Intelligence[J]. 数据分析与知识发现, 2018, 2(10): 9-14.
[6] Mu Dongmei,Wang Ping,Zhao Danning. Reducing Data Dimension of Electronic Medical Records: An Empirical Study[J]. 数据分析与知识发现, 2018, 2(1): 88-98.
[7] Hu Zhongyi,Wang Chaoqun,Wu Jiang. Identifying Phishing Websites with Multiple Online Data Sources[J]. 数据分析与知识发现, 2017, 1(6): 47-55.
[8] Jiang Siwei,Xie Zhenping,Chen Meijie,Cai Ming. Self-Explainable Reduction Method for Mixed Feature Data Modeling[J]. 数据分析与知识发现, 2017, 1(12): 92-100.
[9] Mu Dongmei,Ren Ke. Discovering Knowledge from Electronic Medical Records with Three Data Mining Algorithms[J]. 现代图书情报技术, 2016, 32(6): 102-109.
[10] Li Feng,Li Shu’ning,Yu Jing. A Department Oriented Library Usage Data System for Graduates[J]. 现代图书情报技术, 2016, 32(5): 99-103.
[11] Zhao Jingxian. Detect of Internet Fake Public Opinion Based on Decision Tree[J]. 现代图书情报技术, 2015, 31(6): 78-84.
[12] He Jianmin, Wang Zhe. The Pedigree Method to Mine Influential Clusters of Topic Information in Social Network[J]. 现代图书情报技术, 2015, 31(5): 65-72.
[13] Huang Wenbin, Xu Shanchuan, Ma Long, Wang Jun. Analysis of Mobile User Behaviors with Telecommunication Data[J]. 现代图书情报技术, 2015, 31(5): 80-87.
[14] Hao Mei, Wang Daoping. Mining Customer Focus Features from Product Reviews Oriented Supply Chain[J]. 现代图书情报技术, 2014, 30(4): 65-70.
[15] Sun Hongfei, Hou Wei. Application of Improved TFIDF Algorithm in Mining Potential Cooperation Relationship[J]. 现代图书情报技术, 2014, 30(10): 84-92.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938