Author:
Aleksandrova Marharyta,Brun Armelle,Boyer Anne,Chertov Oleg
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Reference66 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. Agarwal, D., & Chen, B.C. (2010). flda: matrix factorization through latent dirichlet allocation. In Proceedings of the 3d ACM international conference on web search and data mining (pp. 91–100): ACM.
3. Aleksandrova, M., Brun, A., Boyer, A., & Chertov, O. (2014). Search for user-related features in matrix factorization-based recommender systems. In Proceedings of European conference on machine learning and principles and practice of knowledge discovery in databases - Doctoral session (p. 10).
4. Amatriain, X., Lathia, N., Pujol, J.M., Kwak, H., & Oliver, N. (2009). The wisdom of the few: a collaborative filtering approach based on expert opinions from the web. In Proceedings of the 32nd international ACM SIGIR conference on research and development in information retrieval (pp. 532–539): ACM.
5. Behnke, S. (2003). Discovering hierarchical speech features using convolutional non-negative matrix factorization. In Proceedings of the international joint conference on neural networks, (Vol. 4 pp. 2758–2763): IEEE.
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