Leveraging missing ratings to improve online recommendation systems

Journal of Marketing Research

Volumn 43, Issue 3, 2006, Pages 355-365

  Ying, Yuanping ^a   Feinberg, Fred ^b   Wedel, Michel ^c  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33748541963     PISSN: 00222437     EISSN: None     Source Type: Journal    
DOI: 10.1509/jmkr.43.3.355     Document Type: Review

References (13)

1. Allenby, Greg M. and Peter E. Rossi (1999), "Marketing Models of Consumer Heterogeneity," Journal of Econometrics, 89 (1-2), 57-78.
2. Andrews, Rick L., Asim Ansari, and Imran S. Currim (2002), "Hierarchical Bayes Versus Finite Mixture Conjoint Analysis Models: A Comparison of Fit, Prediction, and Partworth Recovery," Journal of Marketing Research, 39 (February), 87-98.
3. Ansari, Asim, Skander Essegaier, and Rajeev Kohli (2000), "Internet Recommendation Systems," Journal of Marketing Research, 37 (August), 363-75.
4. Breese, Jack, David Heckerman, and Carl Kadie (1998), "Empirical Analysis of Predictive Algorithms for Collaborative Filtering," in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence. Madison, WI: Morgan Kaufmann Publisher, 43-52.
5. Brooks, S.P. and Andrew Gelman (1998), "General Methods for Monitoring Convergence of Iterative Simulations," Journal of Computational and Graphical Statistics, 7 (4), 434-55.
6. Canny, John (2002), "Collaborative Filtering with Privacy," paper presented at the IEEE Symposium on Security and Privacy, Oakland, CA (May 2002).
7. Chien, Yung-Hsin and Edward I. George (1999), "A Bayesian Model for Collaborative Filtering," working paper, Department of MSIS, University of Texas at Austin.
8. Hofmann, Thomas and Jan Puzicha (1999), "Latent Class Models for Collaborative Filtering," in Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence. Madison, WI: Morgan Kaufmann Publisher, 688-93.
9. Little, Roderick J.A. and Donald B. Rubin (1987), Statistical Analysis with Missing Data. New York: John Wiley & Sons.
10. Rost, Jurgen (1985), "A Latent Class Model for Rating Data," Psychometrika, 50 (1), 37-49.
11. Rubin, Donald B. (1976), "Inference and Missing Data (with Discussion)," Biometrika, 63 (3), 581-92.
12. Sarwar, Badrul M., George Karypis, Joseph A. Konstan, and John T. Riedl (2000), "Analysis of Recommendation Algorithms for E-Commerce," working paper, GroupLens Research Group/Army HPC Research Center, University of Minnesota.
13. Wedel, Michel, Wagner A. Kamakura, Albert C. Bemmaor, J. Chiang, Terry Elrod, R. Johnson, Peter J. Lenk, Scott A. Neslin, and C.S. Poulsen (1999), "Discrete and Continuous Representation of Heterogeneity," Marketing Letters, 10 (3), 217-30.