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| Book Recommendation System Based on Folksonomy in Library |
| Luo Lin, Liang Guisheng, Cai Jun |
| Center for the Studies of Information Resources, Wuhan University, Wuhan 430072, China |
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Abstract [Objective] This paper tries to build a book recommender system based on folksonomy, which forms the triple relations among the users, resources and tags. [Methods] This papercalculates the cosine similarity and weights of books and tags, use sparse vector representation to represent the input matrix for each resource to compress sparse matrix. [Results] Experimental results show that the book weights varied from 0 to 200 and the tag weights followed a power law distribution. In the end, the relevant assessments are performed with the AP and MAP indicators. [Limitations] It fails to get enough data in the library catalogs, hence collects the additional data in book.douban.com. [Conclusions] The recommendation system can help the OPACs to improve its function and personalized services.
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Received: 30 December 2013
Published: 19 May 2014
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| [1] Mathes A.Folksonomies-Cooperative Classification and Communication Through Shared Metadata[J].Computer Mediated Communication,2004,47(10):1-13.
[2] Gao K,Wang Y C,Wang Z Q.Similar Interest Clustering and Partial Back-propagation-based Recommendation in Digital Library[J].Library Hi Tech,2005,23(4):587-597.
[3] Avancini H,Candela L,Straccia U.Recommenders in a Personalized,Collaborative Digital Library Environment[J].Journal of Intelligent Information Systems,2007,28(3):253-283.
[4] 王新筠.基于数据挖掘的图书馆用户借阅行为分析及书目推荐服务[D].天津:南开大学,2008.(Wang Xinjun.User's Borrowing Behavior Analysis and Book Recommendation Service in Library Based on Data Mining[D].Tianjin:Nankai University,2008.)
[5] 蒋若珊.基于SOM聚类的个性化图书推荐研究[J].现代情报,2011,31(5):146-148.(Jiang Ruoshan.Research on Personalized Books Recommendation Based on SOM Clustering[J].Modern Information,2011,31(5):146-148.)
[6] 雷蕾.基于关联规则的个性化图书推荐研究[J].情报探索,2011(1):50-51.(Lei Lei.Study on Personalized Information Recommendation Service Basing on Association Rules[J].Information Research,2011(1):50-51.)
[7] 王艳翠.Melvyl推荐项目——发展中的图书馆推荐服务[J].图书馆杂志,2007,26(10):55-57.(Wang Cuiyan.The Melvyl Recommender Project——Developing Library Recommendation Services[J].Library Journal,2007,26(10):55-57.)
[8] Milicevic A K,Nanopoulos A,Ivanovic M.Social Tagging in Recommender Systems:A Survey of the State-of-the-art and Possible Extensions[J].Artificial Intelligence Review,2010,33(3):187-209.
[9] Hotho A,Jäschke R,Schmitz C,et al.Information Retrieval in Folksonomies:Search and Ranking[C].In:Proceedings of the 3rd European Semantic Web Conference.2006:411-426.
[10] Zheng N,Li Q.A Recommender System Based on Tag and Time Information for Social Tagging Systems[J].Expert Systems with Applications,2011,38(4):4575-4587.
[11] Zhang Y,Zhang B,Gao K,et al.Combining Content and Relation Analysis for Recommendation in Social Tagging Systems[J].Physica A:Statistical Mechanics and Its Applications,2012,391(22):5759-5768.
[12] Wakeling S,Clough P,Sen B,et al."Readers Who Borrowed This Also Borrowed ?":Recommender Systems in UK Libraries[J].Library Hi Tech,2012,30(1):134-150.
[13] Cattuto C,Benz D,Hotho A,et al.Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems[EB/OL].[2013-02-14].http://arxiv.org/pdf/0805.2045.pdf.
[14] Markines B,Cattuto C,Menczer F,et al.Evaluating Similarity Measures for Emergent Semantics of Social Tagging[C].In:Proceedings of the 18th International Conference on World Wide Web.ACM,2009:641-650.
[15] 黄言之.信息检索IR的评价指标综述[EB/OL].[2012-05-08].http://blog.sina.com.cn/s/blog_72995dcc01013oo9.html.(Huang Yanzhi.Review of the Evaluation Indicators of Information Retrieval(IR)[EB/OL].[2012-05-08].http://blog.sina.com.cn/s/blog_72995dcc01013oo9.html.) |
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