A Paper Accepted for IEEE BigData 2022

Our paper proposing a variational inference method for factorization machines and applying it to recommendation systems was accepted to IEEE BigData 2022.
Jill-Jênn Vie, Tomas Rigaux, Hisashi Kashima.
Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems.
In Proceedings of the 2022 IEEE International Conference on Big Data (BigData), 2022.