[1] 马炎. 一种自适应的协作过滤图书推荐系统研究[J]. 情报杂志, 2008, 27(5): 105-106, 109. (Ma Yan. Research on the Adaptive Collaborative Filtering Recommendation System [J]. Journal of Information, 2008, 27(5): 105-106, 109.)
[2] 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.)
[3] 吴志强, 马慧娟. 协同信息推荐技术及其在数字图书馆中的应用研究述评[J]. 图书情报工作, 2012, 56(19): 122-127. (Wu Zhiqiang, Ma Huijuan. Review on Researches About the Application of Collaborative Information Recommendation Technologies in Digital Libraries [J]. Library and Information Service, 2012, 55(19): 122-127.)
[4] 熊拥军. 数字图书馆个性化服务资源推荐模式分析[J]. 图书馆, 2014(2): 132-134. (Xiong Yongjun. The Model Analysis of Personalized Information Recommendation Service in Digital Library [J]. Library, 2014(2): 132-134.)
[5] Koren Y, Bell R, Volinsky C. Matrix Factorization Techniques for Recommender Systems [J]. Computer, 2009, 42 (8): 30-37.
[6] Ghazarian S, Nematbakhsh M A. Enhancing Memory-based Collaborative Filtering for Group Recommender Systems Original Research Article [J]. Expert Systems with Applications, 2015, 42(7): 3801-3812.
[7] Zhu Z, Wang J Y. Book Recommendation Service by Improved Association Rule Mining Algorithm [C]. In: Proceedings of the 6th International Conference on Machine Learning and Cybernetics, Hong Kong, China. 2007: 19-22.
[8] Lopes G R, Souto M A M, Wives L K, et al. A Personalized Recommender System for Digital Libraries [C]. In: Proceedings of the 14th Brazilian Symposium on Multimedia and the Web, Brazil. 2008: 59-66.
[9] Amini B, Ibrahim R, Othman M S, et al. Incorporating Scholar's Background Knowledge into Recommender System for Digital Libraries [C]. In: Proceedings of the 5th Malaysian Conference in Software Engineering (MySEC). 2011: 516-523.
[10] Will T, Srinivasan A, Im I, et al. Search Personalization: Knowledge-Based Recommendation in Digital Libraries[C]. In: Proceedings of the 15th Americas Conference on Information Systems. 2009: 728-735.
[11] 杨杰. 个性化推荐系统应用及研究[D]. 合肥: 中国科学技术大学, 2009. (Yang Jie. Application and Research of Personalized Recommender Systems [D]. Hefei: University of Science and Technology of China, 2009.)
[12] 赵琴琴, 鲁凯, 王斌. SPCF 基于内存的传播式协同过滤推荐算法[J]. 计算机学报, 2013, 36(3): 671-672. (Zhao Qinqin, Lu Kai, Wang Bin. SPCF: A Memory Based Collaborative Filtering Algorithm via Propagation [J]. Chinese Journal of Computers, 2013, 36(3): 671-672.)
[13] 贾丽会, 张修如. BP算法分析与改进[J]. 计算机技术与发展, 2006, 16(10): 101-103. (Jia Lihui, Zhang Xiuru. Analysis and Improvements of BP Algorithm [J]. Computer Technology and Development, 2006, 16(10): 101-103.)
[14] Jung K Y. User Preference Through Bayesian Categorization for Recommendation [C]. In: Proceedings of the 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China. 2006: 112-119.
[15] 任磊. 推荐系统关键技术研究[D]. 上海: 华东师范大学, 2012. (Ren Lei. Research on Some Key Issues of Recommender Systems [D]. Shanghai: East China Normal University, 2012.)
[16] Chedrawy Z, Abidi S S R. An Adaptive Personalized Recommendation Strategy Featuring Context Sensitive Content Adaptation [C]. In: Proceedings of the 4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems. 2006: 61-70.
[17] 李静云. 基于用户情境感知的移动图书馆知识推荐系统设计[J]. 图书馆理论与实践, 2013(6): 19-21. (Li Jingyun. Design of Knowledge Recommender System Based-on Users' Context-aware for Mobile Library [J]. Library Theory and Practice, 2013(6): 19-21.)
[18] Hai Z, Zheng L. Ranking Semantic-linked Network [C]. In: Proceedings of the 12th International Conference on World Wide Web. 2003: 114-117.
[19] 徐峥. 大规模网络资源环境下关联语义链网络模型及其应用研究[D]. 上海: 上海大学, 2012. (Xu Zheng. Building Association Link Network for Managing Large Scale Web Resources [D]. Shanghai: Shanghai University, 2012.)
[20] 刘飞飞. 基于多目标优化双聚类的数字图书馆协同过滤推荐系统[J]. 图书情报工作, 2011, 55(7): 111-113. (Liu Feifei. Digital Library Collaborative Filtering Recommendation System Based on Multiobjective Evolutionary Biclustering [J]. Library and Information Service, 2011, 55(7): 111-113.)
[21] 马丽. 基于群体兴趣偏向度的数字图书馆协同过滤技术研究[J]. 现代图书情报技术, 2007(10): 19-22. (Ma Li. Study on Digital Library Collaborative Filtering Technology Based on Group Interest Trend Degree [J]. New Technology of Library and Information Service, 2007(10): 19-22.)
[22] 黄晓斌. 基于协同过滤的数字图书馆推荐系统研究[J]. 大学图书馆学报, 2006, 24(1): 53-57. (Huang Xiaobin. A Study on the Digital Library Recommender System base on Collaborartive Filtering [J]. Journal of Academic Libraries, 2006, 24(1): 53-57. )
[23] 李沛东. 基于语用情境的资源推荐研究及应用[D]. 重庆: 重庆大学, 2011. (Li Peidong. Research and Application of Resource Recommendation base on Pragmatics Context [D]. Chongqing: Chongqing University, 2011.)
[24] Goldberg K, Toeder T, Gupta D, et al. Eigentaste: A Constant Time Collaborative Filtering Algorithm [J]. Information Retrieval, 2001, 4(2): 133-151.
[25] Zhou T, Kuscsik Z, Liu J G, et al. Solving the Apparent Diversity-accuracy Dilemma of Recommender Systems [J]. Proceedings of the National Academy of Sciences, 2010, 107(10): 4511-4517.
[26] Lemire D, Maclachlan A. Slope One Predictors for Online Rating Based Collaborative Filtering [C]. In: Proceedings of the 2005 SIAM International Conference on Data Mining. 2005: 471-475.
[27] Liu N N, Qiang Y. Eigenrank: A Ranking-oriented Approach to Collaborative Filtering [C]. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research & Development on Information Retrieval. 2008: 83-90. |