1 code implementation • 23 Jun 2020 • Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé
Non-negative matrix factorization (NMF) has become a well-established class of methods for the analysis of non-negative data.
1 code implementation • ICML 2020 • Olivier Gouvert, Thomas Oberlin, Cédric Févotte
In particular, our algorithm preserves the scalability of PF and can be applied to huge sparse datasets.
1 code implementation • 20 May 2019 • Olivier Gouvert, Thomas Oberlin, Cédric Févotte
Count data are often used in recommender systems: they are widespread (song play counts, product purchases, clicks on web pages) and can reveal user preference without any explicit rating from the user.
no code implementations • 5 Jan 2018 • Olivier Gouvert, Thomas Oberlin, Cédric Févotte
We introduce negative binomial matrix factorization (NBMF), a matrix factorization technique specially designed for analyzing over-dispersed count data.