Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Reference50 articles.
1. Adomavicius, G., & 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(6), 734–749.
2. Bobadilla, J., Ortega, F., Hernando, A., & Bernal, J. (2012). A collaborative filtering approach to mitigate the new user cold start problem. Knowledge-Based Systems, 26, 225–238.
3. Breese, J. S., Heckerman, D., & Kadie, C. (1998). Empirical analysis of predictive algorithms for collaborative filtering, Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence (pp. 43–52). San Mateo: Morgan Kaufmann Publishers Inc.
4. Burke, R. (2007). Hybrid web recommender systems. The Adaptive Web 377–408.
5. Chen, L., Chen, G., & Wang, F. (2015a). Recommender systems based on user reviews: The state of the art. User Modeling and User-Adapted Interaction, 25(2), 99–154.
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