Ordinal Non-negative Matrix Factorization for Recommendation O Gouvert, T Oberlin, C Févotte Proceedings of the 37th International Conference on Machine Learning (ICML), 2020 | 23 | 2020 |
Matrix co-factorization for cold-start recommendation O Gouvert, T Oberlin, C Févotte 19th International Society for Music Information Retrieval Conference (ISMIR …, 2018 | 19 | 2018 |
Recommendation from Raw Data with Adaptive Compound Poisson Factorization O Gouvert, T Oberlin, C Févotte Proc. Conference on Uncertainty in Artificial Intelligence (UAI), 2019 | 16 | 2019 |
Negative binomial matrix factorization for recommender systems O Gouvert, T Oberlin, C Févotte arXiv preprint arXiv:1801.01708, 2018 | 14 | 2018 |
Negative Binomial Matrix Factorization O Gouvert, T Oberlin, C Févotte IEEE Signal Processing Letters, 2020 | 10 | 2020 |
A comparative study of Gamma Markov chains for temporal non-negative matrix factorization L Filstroff, O Gouvert, C Févotte, O Cappé IEEE Transactions on Signal Processing 69, 1614-1626, 2021 | 5 | 2021 |
TEARS: Textual Representations for Scrutable Recommendations E Penaloza, O Gouvert, H Wu, L Charlin arXiv preprint arXiv:2410.19302, 2024 | | 2024 |
Text Representations for Scrutable Recommendations E Penaloza, O Gouvert, H Wu, L Charlin | | 2024 |
A Comparative Study of Temporal Non-Negative Matrix Factorization with Gamma Markov Chains L Filstroff, O Gouvert, C Févotte, O Cappé arXiv e-prints, arXiv: 2006.12843, 2020 | | 2020 |
Factorisation bayésienne de matrices pour le filtrage collaboratif O Gouvert Institut National Polytechnique de Toulouse-INPT, 2019 | | 2019 |