Collaborative filtering with multi-component rating for recommender systems

16th Workshop on Information Technologies and Systems, WITS 2006

Volumn , Issue , 2006, Pages 67-72

  Sahoo, Nachiketa ^a   Krishnan, Ramayya ^a   Duncan, George ^a   Callan, James P ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b Language Technology Institute Carnegie Mellon University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEPENDENCY STRUCTURES; EXPECTATION MAXIMIZATION; MIXTURE MODEL; MULTICOMPONENTS; MULTIPLE COMPONENTS; TRAINING DATA;

INFORMATION TECHNOLOGY;

EID: 84901929608     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Gediminas Adomavicius and Alexander Tuzhilin. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng, 17(6):734-749, 2005.
2. Ricardo A. Baeza-Yates and Berthier A. Ribeiro-Neto. Modern Information Retrieval. ACM Press / Addison-Wesley, 1999.
3. Wikipedia contributors. Collaborative filtering. Wikipedia, The Free Encyclopedia, 2006. [Online; accessed 15-August-2006].
4. A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, 39:1-38, 1977.
5. Jonathan L. Herlocker, Joseph A. Konstan, Loren G. Terveen, and John T. Riedl. Evaluating collabora- tive filtering recommender systems. ACM Trans. Inf. Syst., 22(1):5-53, 2004.
6. Thomas Hofmann and Jan Puzicha. Latent class models for collaborative filtering. In Dean Thomas, editor, Proceedings of the 16th International Joint Conference on Artificial Intelligence (IJCAI-99-Vol2), pages 688-693, S.F., July 31-August 6 1999. Morgan Kaufmann Publishers.
7. R. L. Holzbach. Rater bias in performance ratings: Superior, self, and peer ratings. Journal of Applied Psychology, 63:579-588, 1978.
8. Inc. Netflix. Form 10-k annual report pursuant to section 13 or 15(d) of the securities exchange act of 1934. UNITED STATES SECURITIES AND EXCHANGE COMMISSION, Washington, D.C. 20549, 2006.
9. Paul Resnick and Hal R. Varian. Recommender systems. Commun. ACM, 40(3):56-58, 1997.
10. Upendra Shardanand and Pattie Maes. Social information filtering: Algorithms for automating ẅord of mouth. In CHI, pages 210-217, 1995.
11. Luo Si and Rong Jin. Flexible mixture model for collaborative filtering. In ICML, pages 704-711. AAAI Press, 2003.
12. F. L. Wells. A statistical study of literary merit. Archives of psychology, 1, 1907.