1G.Adomavicius & A .Tuzhilin.Toward the next generation of recommender systems:A survey of the state-of-the-art and possible extensions[J].IEEE Transactions On Knowledge And Data Engineering,2005,17(6):734-749.
2Xiaoyuan Su&Taghi M.K.A Survey of Collaborative Filtering Techniques[J].Advances in Artificial Intelligence, 2009,2009:Article ID 421425.
3FIDEL C., V' ICTOR C., DIEGO F.& VREIXO O. Comparison of Collaborative Filtering Algorithms: Limitations of Current Techniques and Proposals for Scalable, High-Performance Recommender Systems[J]. ACM Transactions on the Web, 2011,5(1):2-33.
9Nathan N. Liu, Min Zhao, Evan Xiang, and Qiang Yang. Online evolutionary collaborative filtering[A]. In 4th ACM Conf. on Recommender Systems, 2010,95-102.
10Tsang-Hsiang Cheng, Hung-Chen Chen, Wen-Ben Lin& Yen-Hsien Lee. Collaborative Filtering With User Interest Evolution[A]. In Pacific Asia Conference on Information Systems, 2011,Paper 45.
5Xu HL,Wu X,Li XD,Yan BP.Comparison study of Internet recommendation system.Journal of Software,2009,20(2):350-362 (in Chinese with English abstract).http://www.jos.org.cn/1000-9825/3388.htm[doi:10.3724/SP.J.1001.2009.03388].
6Marlin B.Collaborative Filtering:A machine learning perspective[MS.Thesis].Toronto:University of Toronto,2004.
7Hofmann T.Latent semantic models for collaborative filtering.ACM Trans.on Information System,2004,22(1):89-115.[doi:10.1145/963770.963774].
9Netflix update:Try this at home.2006.http://sifter.org/~simon/journal/20061211.html.
10Zhang S,Wang WH,Ford J,Makedon F.Learning from incomplete ratings using non-negative matrix factorization.In:Ghosh J,ed.Proc.of the 6th SIAM Conf.on Data Mining.Bethesda:SIAM,2006.549-553.