Please wait a minute...
New Technology of Library and Information Service  2015, Vol. 31 Issue (10): 102-108    DOI: 10.11925/infotech.1003-3513.2015.10.14
Current Issue | Archive | Adv Search |
Personalized Book Recommender Service Deployment Using Apache Mahout
Liu Dan
East China Normal University Library, Shanghai 200240, China
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

[Objective] Through providing personalized book recommender service, enrich resource discovering methods and promote user awareness, book circulation under the situation of circulation decrease. [Methods] Using Apache Mahout, by normalizing circulation log data, using boolean user-based collaborative filtering recommendation with logarithm similarity algorithm, personalized book recommendations are generated and embedded in OPAC. [Results] Personalized book recommendations are embedded in OPAC, with automatic update every 10 days, and top 10 books are rendered to readers without recommendations. [Limitations] Lack of preference data, available recommenders are limited to boolean user-based recommenders. [Conclusions] The personalized book recommendation service receives attention and good fame. 7.5% readers click and read the recommendations, and about 3.1% borrow the recommended book.

Received: 06 January 2015      Published: 06 April 2016
:  G250.76  

Cite this article:

Liu Dan. Personalized Book Recommender Service Deployment Using Apache Mahout. New Technology of Library and Information Service, 2015, 31(10): 102-108.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2015.10.14     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2015/V31/I10/102

[1] 华东师范大学图书馆. 华东师范大学图书馆馆藏文献利用调查与分析[R/OL]. [2014-12-28]. http://www.lib.ecnu.edu. cn/about/lib_annual/.(East China Normal University Library. Investigation and Analysis on Utilization of the Holdings of East China Normal University Library [R/OL]. [2014-12-28]. http://www.lib.ecnu.edu.cn/about/lib_annual/.)
[2] 高凤荣, 马文峰, 王珊. 数字图书馆个性化信息推荐系统研究[J]. 情报理论与实践, 2003, 26(4): 359-362. (Gao Fengrong, Ma Wenfeng, Wang Shan. Research on Individual Information Recommendation System in Digital Library [J]. Information Studies: Theory & Application, 2003, 26(4): 359-362.)
[3] 王燕, 温有奎. 基于关联规则的推荐系统在数字图书馆中的应用[J]. 情报科学, 2007, 25(6): 877-880. (Wang Yan, Wen Youkui. The Applications of Recommendation System Based on Association Rules in the Digital Library [J]. Information Science, 2007, 25(6): 877-880.)
[4] 徐嘉莉, 陈佳. 一种快速的个性化书目推荐方法[J]. 现代图书情报技术, 2010(2): 79-84. (Xu Jiali, Chen Jia. A Fast Personalized Bibliographic Recommendation Method [J]. New Technology of Library and Information Service, 2010(2): 79-84.)
[5] 王代琳, 刘亚秋, 王真谛. 基于平均差异度的数字图书馆个性化推荐算法研究[J]. 图书情报工作, 2009, 53(11): 119-122. (Wang Dailin, Liu Yaqiu, Wang Zhendi. Personalized Recommendation Algorithm for Digital Library Based on Average Difference Degree [J]. Library and Information Service, 2009, 53(11): 119-122.)
[6] 赵麟. 基于最大频繁模式挖掘算法进行书目推荐系统的设计与实现[J]. 现代图书情报技术, 2010(5): 23-28. (Zhao Lin. The Design and Implementation of the Bibliographic Recommendation System Based on Maximal Frequent Patterns Mining Algorithm [J]. New Technology of Library and Information Service, 2010(5): 23-28.)
[7] 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.)
[8] 汪英姿. 基于本体的个性化图书推荐方法研究[J]. 现代图书情报技术, 2012(12): 72-78. (Wang Yingzi. Research on Ontology-based Personalized Recommendation Method for Library Resources [J]. New Technology of Library and Information Service, 2012(12): 72-78.)
[9] 张闪闪, 黄鹏. 高校图书馆图书推荐系统中的稀疏性问题实证探析[J]. 大学图书馆学报, 2014(6): 47-53. (Zhang Shanshan, Huang Peng. Empirical Study on Sparsity of University Libraries[J]. Journal of Academic Libraries, 2014(6): 47-53.)
[10] 王晓耘, 钱璐, 黄时友. 基于粗糙用户聚类的协同过滤推荐模型[J]. 现代图书情报技术, 2015(1): 45-51. (Wang Xiaoyun, Qian Lu, Huang Shiyou. Collaborative Filtering Recommendation Model Based on Rough User Clustering [J]. New Technology of Library and Information Service, 2015(1): 45-51.)
[11] 罗琳, 梁桂生, 蔡军. 基于分众分类法的图书馆书目推荐系统[J]. 现代图书情报技术, 2014(4): 14-19. (Luo Lin, Liang Guisheng, Cai Jun. Book Recommendation System Based on Folksonomy in Library [J]. New Technology of Library and Information Service, 2014(4): 14-19.)
[12] 奉国和, 黄家兴. 基于Hadoop与Mahout的协同过滤图书推荐研究[J]. 图书情报工作, 2013, 57(18): 116-121. (Feng Guohe, Huang Jiaxing. Research on Collaborative Filtering Book Recommendation Based on Hadoop and Mahout [J]. Library and Information Service, 2013, 57(18): 116-121.)
[13] Jannach D, Zanker M, Felfering A, 等. 推荐系统[M]. 蒋凡译. 北京: 人民邮电出版社, 2013: 2, 123. (Jannach D, Zanker M, Felfering A, et al. Recommender Systems [M]. Translated by Jiang Fan. Beijing: The People's Posts and Telecommunications Press, 2013: 2, 123.)
[14] Goldberg D, Nichols D, Oki B M, et al.Using Collaborative Filtering to Weave an Information Tapestry [J]. Communica­tions of the ACM, 1992, 35(12): 61-70.
[15] 邱均平, 张聪. 高校图书馆馆藏资源协同推荐系统研究[J].图书情报工作, 2013, 57(22): 132-137.(Qiu Junping, Zhang Cong. Research on the Collaborative Recommendation System of University Library Resources [J]. Library and Information Service, 2013, 57(22): 132-137.)
[16] Owen S, Anil R, Dunning T, 等. Mahout实战[M]. 王斌, 韩冀中, 万吉译. 北京: 人民邮电出版社, 2014: 47. (Owen S, Anil R, Dunning T, et al. Mahout in Action[M].Translated by Wang Bin, Han Jizhong, Wan Ji. Beijing: The People's Posts and Telecommunications Press, 2014: 47.)
[17] What is Apache Mahout? [EB/OL]. [2015-06-30]. http://mahout.apache.org/.
[18] MovieLens [DB/OL]. [2015-06-30]. http://grouplens.org/datasets/movielens/.

[1] Guo Shaoqing,Le Xiaoqiu. Identifying Actual Value of Numerical Indicator from Scientific Paper[J]. 数据分析与知识发现, 2018, 2(1): 21-28.
[2] Sun Yi'nan, Ku Liping, Song Xiufang, Liu Jingjing, Jiang Xian. The Policy Research and Analysis of Subject Data Repository ——Cases Study of Life Sciences[J]. 现代图书情报技术, 2015, 31(12): 13-20.
[3] Zhu Guang. Copyright Protection Scheme of Color Images for Libraries, Museums and Archives Based on Zero-Watermarking[J]. 现代图书情报技术, 2015, 31(12): 89-94.
[4] Wang Ying, Wu Zhenxin, Xie Jing. Review on Semantic Retrieval System for Scientific Literature[J]. 现代图书情报技术, 2015, 31(5): 1-7.
[5] Wu Yue, Zhou Yigang, Cui Haiyuan, Nie Hua. Peking University Library Website Redesign Based on Usability Study[J]. 现代图书情报技术, 2014, 30(11): 88-94.
[6] Yao Xiaona, Zhu Zhongming, Lu Linong, Liu Wei, Zhang Wangqiang. Research on Data Synchronization of OAI Interoperability of Institutional Repository[J]. 现代图书情报技术, 2014, 30(3): 14-18.
[7] Wu Kun, Xie Xiaqing, Wu Xu. Design and Implementation of Trustworthiness Validation in Cloud Library Virtualized Environment[J]. 现代图书情报技术, 2014, 30(3): 35-41.
[8] Zhang Wangqiang, Zhu Zhongming, Lu Linong. Comparative Analysis of Several Typical New Open Source Institutional Repository Software[J]. 现代图书情报技术, 2014, 30(2): 17-24.
[9] Wang Feng, Wei Feng, Liu Yi, Zhou Hong, Zhao De. Application of Open Source Search Engine Solr to Build Standards Information Management and Analysis Platform[J]. 现代图书情报技术, 2014, 30(2): 92-98.
[10] Yao Xiaona, Zhu Zhongming, Wang Sili. Research on Automatic Semantic Annotation for Geosciences[J]. 现代图书情报技术, 2013, (4): 48-53.
[11] Ma Ningning, Li Chao, Qu Yunpeng. Design and Implementation of an Automatic Obsolescence Management System for Digital Preservation[J]. 现代图书情报技术, 2013, (4): 69-76.
[12] Ma Yumeng, Zhu Zhongming. Research on Representative Semantic Models for Linking and Organizing Digital Objects[J]. 现代图书情报技术, 2013, 29(1): 1-7.
[13] Huang Yongwen, Qian Li. Research on Information Retrieval Service Towards Linked Data[J]. 现代图书情报技术, 2012, (12): 2-8.
[14] Li Chunwang, Fei Dayu, Zhou Qiang. Study on Mashup Workflow Engine[J]. 现代图书情报技术, 2012, (12): 27-31.
[15] Niu Yazhen, Zhu Zhongming. A Linked Data-driven Semantic User Modeling Framework for Personalization Service[J]. 现代图书情报技术, 2012, (10): 1-7.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn