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New Technology of Library and Information Service  2012, Vol. 28 Issue (6): 89-93    DOI: 10.11925/infotech.1003-3513.2012.06.15
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Design and Implementation of New Books Noting Personalized Recommendation System Based on Circulation Logs
Li Gaohu1, Gao Song1, Tang Xiaoxin2, Cao Hongbing2, Tang Qiuhong3,4
1. Beijing University of Posts and Telecommunications Assets Management Co., Ltd, Beijing 100876, China;
2. Guangxi University Library, Nanning 530004, China;
3. Management School, Jinan University, Guangzhou 510632, China;
4. Xingjian College of Science and Liberal Arts, Guangxi University, Nanning 530005, China
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Abstract  Based on circulation logs of library automation systems, the paper builds a data warehouse using the method of cluster analysis in SPSS data mining tools, and mines the classification modes between readers and books. By the classification result sets of new books personalized recommendations, new books are recommended to readers who are interested in. The paper also takes MELINETS II as an example, designs and achieves the application of the personalized recommendation system.
Key wordsCirculation log      New book noting      Personalized services      Data mining     
Received: 22 March 2012      Published: 30 August 2012
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Cite this article:

Li Gaohu, Gao Song, Tang Xiaoxin, Cao Hongbing, Tang Qiuhong. Design and Implementation of New Books Noting Personalized Recommendation System Based on Circulation Logs. New Technology of Library and Information Service, 2012, 28(6): 89-93.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2012.06.15     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2012/V28/I6/89

[1] 曹红兵,唐秋鸿,唐小新,等.物联网环境下的高校图书馆个性化服务体系构建[J]. 情报理论与实践 ,2011,34(3):70-76.(Cao Hongbing, Tang Qiuhong, Tang Xiaoxin, et al. Construction of the Personalized Service System of University Libraries in the Environment of the Internet of Things[J].Information Studies: Theory & Application, 2011,34(3):70-76.)

[2] 新书浏览[EB/OL] .[2012-03-04]. http://www.lib.pku.edu.cn/portal/portal/media-type/html /group/pkuguest/page/newbookbrowse.psml.(Book Browsing[EB/OL] .[2012-03-04]. http://www.lib.pku.edu.cn/portal/portal/media-type/html/group/pkuguest/page/newbookbrowse.psml.)

[3] 新书通报[EB/OL] .[2012-03-04].http://opac.lib.sjtu.edu.cn/F/IBPHHL96SK5T74PS8IRFV1YI62 RKEXTP3EHPMR9 L5FYVN5Q56U-28866?func=file&file_name=newbook.html. (Notice of New Books [EB/OL] .[2012-03-04].http://opac.lib.sjtu.edu.cn/F/IBPHHL96SK5T74PS8IRFV1YI62 RKE XTP3EHPMR9L5FYVN5Q56U-28866?func=file&file_name=newbook.html.)

[4] 中文新书通告[EB/OL] .[2012-03-04].http://lib.tsinghua.edu.cn/newbook/newbook.htm.(New Chinese Books Notice[EB/OL] .[2012-06-04].http://lib.tsinghua.edu.cn/newbook/newbook.htm.)

[5] 新书通报[EB/OL].[2012-03-04].http://www.lib.seu.edu.cn:8080/opac/newbook_cls_browse.php.(Notice of New Books[EB/OL].[2012-03-04].http://www.lib.seu.edu.cn:8080/opac/newbook_cls_browse.php.)

[6] 曾湛伟.基于SULCMIS系统的新书通报个性化服务的设计与实现[J]. 大学图书情报学刊 ,2010(3):46-48.(Zeng Zhanwei. Design and Implementation of Individualized Service of Circulation Notice of New Books Based on the SULCMIS[J].Journal of Academic Library and Information Science, 2010(3):46-48.)

[7] 赵雪松.高校图书馆个性化新书通报的系统设计[J]. 图书馆学研究 ,2007(11):16-17.(Zhao Xuesong. System Design of Individualized New Book Notice in University Library[J].Researches in Library Science, 2007(11):16-17.)

[8] 王伟,张征芳,王海明.基于数据挖掘的图书馆读者行为分析[J]. 现代图书情报技术 ,2006(11):51-54,60.(Wang Wei, Zhang Zhengfang, Wang Haiming. User Behavior Analysis in the Library-based on Data Mining[J].New Technology of Library and Information Service, 2006(11):51-54,60.)

[9] K-means [EB/OL].[2012-03-04].http://baike.baidu.com/view/31854.htm.

[10] 毕长泉,曹健,王朝阳.基于高校图书馆流通日志的数据挖掘[J]. 中国科技信息 ,2011(4):125-127.(Bi Changquan, Cao Jian, Wang Chaoyang. The Data Mining of Circulating Blogs in University Library[J]. Chinese Science and Technology Information, 2011(4):125-127.)

[11] 杨华.数据挖掘在高校图书馆个性化推荐中的应用研究[D].成都:电子科技大学,2009.(Yang Hua. The Research of Data Mining in the Personalized Recommendation System of College Library[D].Chengdu:University of Electronic Science and Technology of China,2009.)
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