xCLiMF
Author:
Affiliation:
1. Delft University of Technology, Delft, Netherlands
2. Telefonica Research, Barcelona, Spain
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2507157.2507227
Reference15 articles.
1. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
2. O. Chapelle Y. Chang and T.-Y. Liu. Future directions in learning to rank. Journal of Machine Learning Research - Proceedings Track 14:91--100 2011. O. Chapelle Y. Chang and T.-Y. Liu. Future directions in learning to rank. Journal of Machine Learning Research - Proceedings Track 14:91--100 2011.
3. Expected reciprocal rank for graded relevance
4. Performance of recommender algorithms on top-n recommendation tasks
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