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New Technology of Library and Information Service  2013, Vol. Issue (5): 54-58    DOI: 10.11925/infotech.1003-3513.2013.05.07
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Research of Books Recommendation of Borrow Preference Uncertainty in University Readers Based on Cloud Model and Multi-feature
Li Kechao, Lan Dongmei, Ling Xiaoe
Library of Guangxi Normal University for Nationalities, Chongzuo 532200, China
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Abstract  The paper, taking advantages of cloud model in expressing uncertainty of fuzziness and randomness in nature, proposes that there are uncertainties in cloud model and readers’ multi-featured books preference.The paper computes the weighted similarity of readers’ majors, genders and grades,uses the backward cloud algorithm to compute readers’ preference of borrow-return time interval that is expressed in cloud expectation, entropy and hyper entropy,and then computes the readers’ cloud similarity. Combining multi-featured similarity of readers with cloud similarity,the paper finally recommends books to readers with copied ones and proves the validity of the algorithm by experiments.
Key wordsCloud model      Readers multi-feature      Uncertainty of borrow preference      Books recommendation     
Received: 18 February 2013      Published: 03 July 2013
:  G205.7  

Cite this article:

Li Kechao, Lan Dongmei, Ling Xiaoe. Research of Books Recommendation of Borrow Preference Uncertainty in University Readers Based on Cloud Model and Multi-feature. New Technology of Library and Information Service, 2013, (5): 54-58.

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http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2013.05.07     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2013/V/I5/54

[1] Jannach D, Zanker M, Felfernig A, et al. Recommender Systems: An Introduction[M]. Cambridge: Cambridge University Press,2010:1-5.
[2] 景民昌,于迎辉.基于借阅时间评分的协同图书推荐模型与应用[J]. 图书情报工作 ,2012,56(3):117-120.(Jing Minchang, Yu Yinghui.CF Recommendation Model Based on Borrowing-time Scores and Its Application[J].Library and Information Service,2012, 56(3):117-120.)
[3] 马健,杜泽宇,李树青.基于多兴趣特征分析的图书馆个性化图书推荐方法[J]. 现代图书情报技术 , 2012(6):1-8.(Ma Jian, Du Zeyu, Li Shuqing. Personalized Book Recommendation Algorithm Based on Multi-interest Analysis in Library[J].New Technology of Library and Information Service, 2012(6):1-8.)
[4] 李克潮,梁正友.基于多特征的个性化图书推荐算法[J]. 计算机工程 ,2012,38(11):34-37.(Li Kechao, Liang Zhengyou.Personalized Book Recommendation Algorithm Based on Multi-feature[J].Computer Engineering,2012,38(11):34-37.)
[5] 董坤.基于协同过滤算法的高校图书馆图书推荐系统研究[J]. 现代图书情报技术 ,2011(11):44-47.(Dong Kun. Research of Personalized Book Recommender System of University Library Based on Collaborative Filter[J]. New Technology of Library and Information Service, 2011(11):44-47. )
[6] Chen C, Zhang L, Qiao H,et al. Book Recommendation Based on Book-Loan Logs[A].//Chen H H, Chowdhury G. The Outreach of Digital Libraries:A Globalized Resource Network[M]. Springer, 2012:269-278.
[7] Vaz P C, Matos D M, Martins B. Stylometric Relevance-feedback Towards a Hybrid Book Recommendation Algorithm[C].In: Proceedings of the 5th ACM workshop on Research Advances in Large Digital Book Repositories and Complementary Media. New York: ACM, 2012:13-16.
[8] Cui B, Chen X. An Online Book Recommendation System Based on Web Service[C].In: Proceedings of the 6th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’09). Piscataway: IEEE Press, 2009:520-524.
[9] 李德毅,杜鹢.不确定性人工智能[M].北京:国防工业出版社,2005:178-186.(Li Deyi, Du Yi. Artificial Intelligence with Uncertainty[M].Beijing: National Defense Industry Press,2005:178-186.)
[10] 张光卫,李德毅,李鹏,等.基于云模型的协同过滤推荐算法[J]. 软件学报 ,2007,18(10):2403-2411. (Zhang Guangwei, Li Deyi, Li Peng, et al. A Collaborative Filtering Recommendation Algorithm Based on Cloud Model[J].Journal of Software,2007,18(10):2403-2411.)
[11] 张新香,刘腾红.利用云模型改进基于项目的协同过滤推荐算法[J]. 图书情报工作 ,2009,53(1):117-120.(Zhang Xinxiang, Liu Tenghong. Applying Cloud Model to Improve Item-based Collaborative Filtering Recommendation Algorithm[J].Library and Information Service,2009,53(1):117-120.)
[12] 沈进昌,杜树新,罗祎,等.基于云模型的模糊综合评价方法及应用[J]. 模糊系统与数学 ,2012,26(6):115-123.(Shen Jinchang, Du Shuxin, Luo Yi, et al. Method and Application Research on Fuzzy Comprehensive Evaluation Based on Cloud Model[J].Fuzzy Systems and Mathematics,2012,26(6):115-123.)
[13] 中华人民共和国教育部.《普通高等学校本科专业目录(2012年)》[EB/OL].[2012-12-08]. http://www.moe.edu.cn/ewebeditor/uploadfile/2012/10/12/20121012084054830.doc. (Ministry of Education of the People’s Republic of China. Undergraduate Course Catalog of General Institutes of Higher Education(in 2012)[EB/OL].[2012-12-08]. http://www.moe.edu.cn/ewebeditor/uploadfile/2012/10/12/20121012084054830.doc.)
[1] Dong Kun. Research of Personalized Book Recommender System of University Library Based on Collaborative Filter[J]. 现代图书情报技术, 2011, (11): 44-47.
[2] Liu Xiang. Study of Intelligent Management in Central Computer Room Based on SNMP[J]. 现代图书情报技术, 2008, 24(4): 66-70.
[3] Li Mengchen,Zhi Yin,Jin Kun. Rationality of Web Citation[J]. 现代图书情报技术, 2005, 21(9): 70-71.
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