Rating movies and rating the raters who rate them

American Statistician

Volumn 63, Issue 4, 2009, Pages 297-307

  Zhou, Hua ^a   Lange, Kenneth ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

EM and MM algorithms; High dimensional data; Maximum likelihood; Ranking

Indexed keywords

EID: 70450045587     PISSN: 00031305     EISSN: None     Source Type: Journal    
DOI: 10.1198/tast.2009.08278     Document Type: Article

References (13)

1. ACM SIGCHI (2007), RecSys'07: Proceedings of the 2007 ACM Conference on Recommender Systems, Minneapolis, MN.
2. ACM SIGKDD and Netflix (2007), Proceedings of KDD Cup and Workshop, available at http://www.cs.uic.edu/liub/Netflix-KDD-Cup-2007.html.
3. Adomavicius, G., and Tuzhilin, A. (2005), "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, 17, 734-749.
4. Becker, M. P., Yang, I., and Lange, K. (1997), "EM Algorithms Without Missing Data," Statistical Methods in Medical Research, 6, 37-53.
5. de Leeuw, J. (1994), "Block Relaxation Algorithms in Statistics," in Information Systems and Data Analysis, eds. H. H. Bock, W. Lenski, and M. M. Richter, New York: Springer-Verlag, pp. 308-325.
6. Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977), "Maximum Likelihood From Incomplete Data via the EM Algorithm" (with discussion), Journal of the Royal Statistical Society, Ser. B, 39, 1-38.
7. Heiser, W. J. (1995), "Convergent Computing by Iterative Majorization: Theory and Applications in Multidimensional Data Analysis," in Recent Advances in Descriptive Multivariate Analysis, ed. W. J. Krzanowski, Oxford: Clarendon Press, pp. 157-189.
8. Hunter, D. R., and Lange, K. (2004), "A Tutorial on MM Algorithms," The American Statistician, 58, 30-37.
9. Lange, K., Hunter, D. R., and Yang, I. (2000), "Optimization Transfer Using Surrogate Objective Functions," Journal of Computational Statistics, 9, 1-59.
10. McLachlan, G. J., and Krishnan, T. (1997), The EM Algorithm and Extensions, New York: Wiley.
11. McLachlan, G. J., and Peel, D. (2000), Finite Mixture Models, New York: Wiley.
12. Wu, T. T, and Lange, K. (2009), "The MM Alternative to EM," Statistical Science, to appear.
13. Zhou, H., and Lange, K. (2009), "MM Algorithms for Some Discrete Multivariate Distributions," to appear.