User Preference Through Bayesian Categorization for Recommendation

Author:

Jung Kyung-Yong

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Balabanovic, M., Shoham, Y.: Fab: Content-based, Collaborative Recommendation. Communication of the Association of Computing Machinery, 66–72 (1997)

2. Basu, C., Hirsh, H., Cohen, W.: Recommendation as Classification: Using Social and Content-based Information in Recommendation. In: Proceedings of the 15th National Conference on AI, pp. 714–720 (1998)

3. Breese, J.S., Kadie, C.: Empirical Analysis of Predictive Algorithms for Collaborative Filtering. In: Proceedings of the 14th Conference on Uncertainty in AI, pp. 43–52 (1998)

4. Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T.: Evaluating Collaborative Filtering Recommender Systems. ACM Transactions on Information Systems (TOIS) archive 22(1), 5–53 (2004)

5. Jung, K.Y., Lee, J.H.: User Preference Mining through Hybrid Collaborative Filtering and Content-based Filtering in Recommendation System. IEICE Transaction on Information and Systems 87-D(12), 2781–2790 (2004)

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