［1］Koren Y. Factorization meets the neighborhood:A multifaceted collaborative filtering model［C］∥Proc of ACM Conference on KDD, 2008:426434.
 ［2］Shang Mingsheng, Zhang Zike, Zhou Tao, et al. Collaborative filtering with diffusionbased similarity on tripartite graphs［J］. Physica A:Statistical Mechanics and its Applications, 2010,389(6):12591264.
 ［3］Liu Jianguo, Zhou Tao, Wang Binghong. Advances in personalized recommendation system［J］. Progress in Natural Science, 2009, 19(1):115. (in Chinese)
 ［4］Amatriain X, Lathia J M, Pujol H, et al. The wisdom of the few：A collaborative filtering approach based on expert opinions from the web［C］∥Proc of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval，2009:532539．
 ［5］Odic A, Tkalcic M, Tasic J F, et al. Relevant context in a movie recommender system:Users’ opinion vs. statistical detection［C］∥Proc of the 4th Workshop on ContextAware Recommender Systems, 2012:1.
 ［6］Sun bin. Personalized intelligent recommendation engine algorithm and its application［D］. Wuhan:Huazhong University of Science and Technology,2012. (in Chinese)
 ［7］Yun Long. Research and implementation of collaborative filtering recommendation system key issues［D］. Harrbin:Heilongjiang University, 2011.(in Chinese)
 ［8］Chen Zhimin,Li Zhiqiang.Collaborative filtering recommendation algorithm based on user characteristics and project properties［J］. Computer Applications, 2011,31(7):17481755. (in Chinese)
 ［9］Jiao Dongjun. Research and design movie recommender system based on Mahout［D］. Beijing:Beijing University of Posts and Telecommunications, 2014. (in Chinese)
 ［10］Aim H J. A new similarity measure for collaborative filtering to alleviate the new user coldstarting problem［J］．Information Sciences, 2008，178(1)：371.
 ［11］Huang Chuangguang，Yin Jian，Wang Jing，et al．Uncertainty neighbor collaborative filtering recommendation algorithm［J］. Journal of Computers，2010，33(8)：13691377．(in Chinese)
 ［12］Zhao Zhidan,Shang Mingsheng.Userbased collaborativefiltering recommendation algorithm on Hadoop［C］∥Proc of the 3rd International Conference on Knowledge Discovery and Data Mining, 2012:478481.
 ［13］Ge Shine, Gen Xinyang. An SVDbased collaborative filtering approach to alleviate coldstart problems［C］∥Proc of 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2012),2012,DOI:10.1109/FSKD.2012.6233900.
 ［14］Xiao Min, Yan Bingjie. Collaborative filtering recommendation algorithm based on shift on users’ preferences［C］∥Proc of 2011 International Conference on Business Management and Electronic Information, 2010:520523.
 ［15］Vozalis M，Margaritis K G．Collaborative filtering enhanced by demographic correlation［C］∥Proc of the ALU Symposium on Professional Practice in AI，the 18th World Computer Congress，2004:393402．
［16］http://grouplens.org/datasets/movielens/.
［17］http://grouplens.org/datasets/hetrec2011/.
附中文参考文献：
［3］刘建国, 周涛, 汪秉宏. 个性化推荐系统的研究进展［J］. 自然科学进展, 2009, 19(1):115.
［6］孙斌.个性化智能推荐引擎算法研究及应用［D］.武汉：华中科技大学,2012.
［7］云龙.协同过滤推荐系统中关键问题研究与实现［D］.哈尔滨：黑龙江大学,2011.
［8］陈志敏,李志强.基于用户特征和项目属性的协同过滤推荐算法［J］.计算机应用,2011,31(7):17481755.
［9］焦东俊.基于Mahout的电影推荐系统研究和实现［D］.北京：北京邮电大学,2014.
［11］黄创光，印鉴，汪静，等．不确定近邻的协同过滤推荐算法［J］.计算机学报，2010，33(8)：13691377．