Adomavicius G, Tuzhilin A. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 2005, 17(6): 734-749
[2]
Mobasher B, Burke R, Bhaumik R, Sandvig J J. Attacks and remedies in collaborative recommendation. IEEE Intelligent Systems, 2007, 22(3): 56-63
[3]
O'Mahony M P, Hurley N J, Kushmerick N, Silvestre G C M. Collaborative recommendation: a robustness analysis. ACM Transactions on Internet Technology, 2004, 4(4): 344-377
[4]
Mobasher B, Burke R D, Bhaumik R, Williams C. Toward trustworthy recommender systems: an analysis of attack models and algorithm robustness. ACM Transactions on Internet Technology, 2007, 7(4): 1-40
[5]
Zhang S, Ouyang Y, Ford J, Makedon F. Analysis of a low-dimensional linear model under recommendation attacks. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Seattle, Washington, USA: ACM, 2006. 517-524
[6]
Mehta B, Hofmann T, Fankhauser P. Lies and propaganda: detecting spam users in collaborative filtering. In: Proceedings of the 12th International Conference on Intelligent User Interfaces. Honolulu, Hawaii: ACM, 2007. 14-21
[7]
Little R J A, Rubin D B. Statistical Analysis with Missing Data. New York: John Wiley, 1987. 13-17
[8]
MacKay D J C. Bayesian interpolation. Neural Computation, 1992, 4(3): 415-447
[9]
Sethuraman J. A constructive definition of Dirichlet priors. Statistica Sinica, 1994, 4: 639-650
[10]
Attias H. Inferring parameters and structure of latent variable models by variational bayes. In: Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence. San Francisco, CA, USA: Morgan Kaufmann, 1999. 21-30
[11]
Ishwaran J, James L F. Gibbs sampling methods for stick-breaking priors. Journal of the American Statistical Association, 2001, 96(453): 161-173
[12]
Lewis D D, Gale W A. A sequential algorithm for training text classifiers. In: Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Dublin, Ireland: Springer, 1994. 3-12
[13]
Mehta B, Hofmann T. A survey of attack-resistant collaborative filtering algorithms. IEEE Data Engineering Bulletin, 2008, 31(2): 14-22
[14]
Su X Y, Khoshgoftaar T M. A survey of collaborative filtering techniques. Advances in Artificial Intelligence, 2009, 2009: 1-20
[15]
Lam S K, Riedl J. Shilling recommender systems for fun and profit. In: Proceedings of the 13th International Conference on World Wide Web. New York, USA: ACM, 2004. 393-402
[16]
Huang Z, Chen H, Zeng D. Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering. ACM Transactions on Information Systems, 2004, 22(1): 116-142
[17]
Burke R, Mobasher B, Williams C, Bhaumik R. Classification features for attack detection in collaborative recommender systems. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Philadelphia, Pennsylvania, USA: ACM, 2006. 542-547
[18]
Mehta B, Nejdl W. Unsupervised strategies for shilling detection and robust collaborative filtering. User Modeling and User-Adapted Interaction, 2009, 19(1-2): 65-97
[19]
Bryan K, O'Mahony M P, Cunningham P. Unsupervised retrieval of attack profiles in collaborative recommender systems. In: Proceedings of the 2008 ACM Conference on Recommender Systems. Lausanne, Switzerland: ACM, 2008. 155-162
[20]
Ferguson T S. A Bayesian analysis of some nonparametric problems. The Annals of Statistics, 1973, 1(2): 209-230
[21]
Frigyik B A, Kapila A, Gupta M R. Introduction to the Dirichlet Distribution and Related Processes, Technical Report, Department of Electrical Engineering, University of Washington, 2010
[22]
Antoniak C E. Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems. The Annals of Statistics, 1974, 2(6): 1152-1174
[23]
Jaakkola T S, Jordan M I. Bayesian parameter estimation via variational methods. Statistics and Computing, 2000, 10(1): 25-37
[24]
Blei D M, Jordan M I. Variational inference for Dirichlet process mixtures. Bayesian Analysis, 2006, 1(1): 121-144
[25]
Fisher R A. The use of multiple measurements in taxonomic problems. Annals of Eugenics, 1936, 7(2): 179-188