The rating prediction task in a group recommender system that automatically detects groups: architectures, algorithms, and performance evaluation

Author:

Boratto Ludovico,Carta Salvatore

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference29 articles.

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2. Amatriain, X., Jaimes, A., Oliver, N., Pujol, J.M. (2011). Data mining methods for recommender systems. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (Eds.) In Recommender Systems Handbook (pp. 39–71). Springer: Boston.

3. Boratto, L., & Carta, S. (2011). State-of-the-art in group recommendation and new approaches for automatic identification of groups. In Information Retrieval and Mining in Distributed Environments (pp. 1–20). Springer: Berlin Heidelberg.

4. Boratto, L., & Carta, S. (2013). Exploring the ratings prediction task in a group recommender system that automatically detects groups. In IMMM 2013, The Third International Conference on Advances in Information Mining and Management (pp. 36–43).

5. Boratto, L., & Carta, S. (2014). Modeling the preferences of a group of users detected by clustering: A group recommendation case-study. In Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14), WIMS ’14 (pp. 16:1–16:7). ACM: New York. doi: 10.1145/2611040.2611073 .

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