Tracking User-Preference Varying Speed in Collaborative Filtering

Proceedings of the 25th AAAI Conference on Artificial Intelligence, AAAI 2011

Volumn , Issue , 2011, Pages 133-138

  Li, Ruijiang ^a   Li, Bin ^b   Jin, Cheng ^a   Xue, Xiangyang ^a   Zhu, Xingquan ^b  

^a FUDAN UNIVERSITY   (China)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FACTORIZATION;

DYNAMIC NON-LINEAR; FACTORIZATION MODEL; MATRIX FACTORIZATIONS; NONLINEAR MATRIX; PREDICTION PERFORMANCE; PREFERENCE CHANGE; PRIOR-KNOWLEDGE; REAL-WORLD; USER FEATURE; USER'S PREFERENCES;

COLLABORATIVE FILTERING;

EID: 84942903138     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Blei, D. M., and Lafferty, J. D. 2006. Dynamic topic models. In Proc. of the 23rd Int'l Conf. on Machine Learning, 113-120.
2. Das, A. S.; Datar, M.; Garg, A.; and Rajaram, S. 2007. Google news personalization: scalable online collaborative filtering. In Proc. of the 16th Int'l Conf. on World Wide Web, 271-280.
3. Ding, Y., and Li, X. 2005. Time weight collaborative filtering. In Proc. of the 14th ACM Int'l Conf. on Information and Knowledge Management, 485-492.
4. Hayashi, K.; Hirayama, J.; and Ishii, S. 2009. Dynamic Exponential Family Matrix Factorization. In Proc. of the 13th Pacific-Asia Conf. on Knowledge Discovery and Data Mining, 452-462.
5. Khoshneshin, M., and Street, W. N. 2010. Incremental collaborative filtering via evolutionary co-clustering. In Proc. of the Fourth ACM Conf. on Recommender Systems, 325-328.
6. Koren, Y. 2009. Collaborative filtering with temporal dynamics. In Proc. of the 15th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, 447-456.
7. Lawrence, N., and Hyvärinen, A. 2005. Probabilistic nonlinear principal component analysis with Gaussian process latent variable models. Journal of Machine Learning Research 6:1783-1816.
8. Lawrence, N. D., and Urtasun, R. 2009. Non-linear matrix factorization with Gaussian processes. In Proc. of the 26th Annual Int'l Conf. on Machine Learning, 601-608.
9. Li, B.; Yang, Q.; and Xue, X. 2009. Can movies and books collaborate? cross-domain collaborative filtering for sparsity reduction. In Proc of the 21st Int'l Joint Conf. on Artificial Intelligence, 2052-2057.
10. Liu, N. N.; Zhao, M.; Xiang, E.; and Yang, Q. 2010. Online evolutionary collaborative filtering. In Proc. of the Fourth ACM Conf. on Recommender Systems, 95-102.
11. Lu, Z.; Agarwal, D.; and Dhillon, I. S. 2009. A spatiotemporal approach to collaborative filtering. In Proc. of the third ACM conf. on Recommender systems, 13-20.
12. Porteous, I.; Bart, E.; and Welling, M. 2008. Multi-HDP: A non parametric bayesian model for tensor factorization. In Proc. of the 23rd National Conf. on Artificial Intelligence, 1487-1490.
13. Rasmussen, C. E., and Williams, C. K. I. 2004. Gaussian processes for machine learning. Cambridge,MA: MIT Press.
14. Resnick, P.; Iacovou, N.; Suchak, M.; Bergstrom, P.; and Riedl, J. 1994. Grouplens: An open architecture for collaborative filtering of netnews. In Proc. of the ACM Conf. on Computer Supported Cooperative Work, 175-186.
15. Salakhutdinov, R., and Mnih, A. 2008a. Bayesian probabilistic matrix factorization using Markov Chain Monte Carlo. In Proc. of the 25th Int'l Conf. on Machine Learning, 880-887.
16. Salakhutdinov, R., and Mnih, A. 2008b. Probabilistic matrix factorization. In Advances in Neural Information Processing Systems, volume 20, 605-614.
17. Sarwar, B.; Karypis, G.; Konstan, J.; and Riedl, J. 2001. Item-based collaborative filtering recommendation algorithms. In Proc. of the 10th Int'l World Wide Web Conf., 285-295.
18. Srebro, N., and Jaakkola, T. 2003. Weighted low-rank approximations. In Proc. of the 20th Int'l Conf. on Machine Learning, 720-727.
19. Wang, J. M.; Fleet, D. J.; and Hertzmann, A. 2008. Gaussian Process Dynamical Models for Human Motion. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(2):283-298.
20. Xiong, L.; Chen, X.; Huang, T.-K.; Schneider, J.; and Carbonell, J. G. 2010. Temporal collaborative filtering with Bayesian probabilistic tensor factorization. In Proc. of the SIAM Int'l Conf. on Data Mining, 211-222.