Thomas Bouabça

According to our database, Thomas Bouabça authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling.

Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Théo Bontempelli, Thomas Bouabça, Tristan Cazenave

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Text2Playlist: Generating Personalized Playlists from Text on Deezer.

Mathieu Delcluze, Antoine Khoury, Clémence Vast, Valerio Arnaudo, Léa Briand, Walid Bendada, Thomas Bouabça

Proceedings of the Advances in Information Retrieval, 2025

2024

Let's Get It Started (Again!): Fostering the Discoverability of New Releases on Deezer.

Léa Briand, Théo Bontempelli, Walid Bendada, Mathieu Morlon, François Rigaud, Benjamin Chapus, Thomas Bouabça, Guillaume Salha-Galvan

Proceedings of the 2nd Music Recommender Systems Workshop 2024 co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

Let's Get It Started: Fostering the Discoverability of New Releases on Deezer.

Léa Briand, Théo Bontempelli, Walid Bendada, Mathieu Morlon, François Rigaud, Benjamin Chapus, Thomas Bouabça, Guillaume Salha-Galvan

Proceedings of the Advances in Information Retrieval, 2024

2023

A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services.

Walid Bendada, Guillaume Salha-Galvan, Thomas Bouabça, Tristan Cazenave

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

On the Consistency of Average Embeddings for Item Recommendation.

Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Thomas Bouabça, Tristan Cazenave

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Track Mix Generation on Music Streaming Services using Transformers.

Walid Bendada, Théo Bontempelli, Mathieu Morlon, Benjamin Chapus, Thibault Cador, Thomas Bouabça, Guillaume Salha-Galvan

Proceedings of the 17th ACM Conference on Recommender Systems, 2023