14 citations · 52 across the 23 of their papers we have counts for
5 papers · 1 filter
On the Consistency of Average Embeddings for Item Recommendation
Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin +2
A prevalent practice in recommender systems consists in averaging item embeddings to represent users or higher-level concepts in the same embedding space. This paper investigates t…
A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services
Walid Bendada, Guillaume Salha-Galvan, Thomas Bouabça +1
Music streaming services often aim to recommend songs for users to extend the playlists they have created on these services. However, extending playlists while preserving their mus…
Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local Search
Hui Wang, Abdallah Saffidine, Tristan Cazenave
Recent work proposed the UCTMAXSAT algorithm to address Maximum Satisfiability Problems (MaxSAT) and shown improved performance over pure Stochastic Local Search algorithms (SLS).…
Learning to Play Stochastic Two-player Perfect-Information Games without Knowledge
Quentin Cohen-Solal, Tristan Cazenave
In this paper, we extend the Descent framework, which enables learning and planning in the context of two-player games with perfect information, to the framework of stochastic game…
Solving the HP model with Nested Monte Carlo Search
Milo Roucairol, Tristan Cazenave
In this paper we present a new Monte Carlo Search (MCS) algorithm for finding the ground state energy of proteins in the HP-model. We also compare it briefly to other MCS algorithm…