Collaborative Filtering with the Simple Bayesian Classifier

Author:

Miyahara Koji,Pazzani Michael J.

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Billsus, D. & Pazzani, M. (1998). Learning Collaborative Filters. In Proceedings of the 15 th International Conference on Machine Learning, San Francisco, CA., Morgan Kaufmann Publishers.

2. Breese, J., Heckerman, D., Kadie, C. (1998). Empirical Analysis of Predictive Algorithms for Collaborative Filtering. In Proceedings of the 14 th Conference on Uncertainty in Artificial Intelligence, Madison, WI, Morgan Kaufmann Publisher.

3. Domingos, P. & Pazzani M. (1997). On the Optimality of the Simple Bayesian Classifier under Zero-One Loss. Machine Learning, 29, 103–130.

4. Gupta, D., Digiovanni, M., Narita, H., Goldberg, K. (1999). Jester 2.0: A New Linear-Time Collaborative Filtering Algorithm Applied to Jokes. Workshop on Recommender Systems Algorithms and Evaluation, 22nd International Conference on Research and Development in Information Retrieval, Berkeley, CA.

5. Herlocker, J., Konstan, J., Borchers, A., Riedl, J. (1999). An Algorithmic Framework for Performing Collaborative Filtering. In proceedings of 22 nd International Conference on Research and Development in Information Retrieval 230–237, Berkley, CA., ACM Press.

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