Guillaume Salha

According to our database, Guillaume Salha authored at least 28 papers between 2018 and 2024.

Collaborative distances:

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

2024

Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation.

Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data.

Kristina Matrosova, Lilian Marey, Guillaume Salha-Galvan, Thomas Louail, Olivier Bodini, Manuel Moussallam

Proceedings of the 18th ACM Conference on Recommender Systems, 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

Attention Mixtures for Time-Aware Sequential Recommendation.

Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin

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

2022

Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation. (Contributions à l'apprentissage de représentations à partir d'autoencodeurs de graphes et applications à la recommandation musicale).

Guillaume Salha

PhD thesis, 2022

Modularity-aware graph autoencoders for joint community detection and link prediction.

Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis

Neural Networks, 2022

New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction.

Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis

CoRR, 2022

Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation.

Guillaume Salha-Galvan

CoRR, 2022

Flow Moods: Recommending Music by Moods on Deezer.

Théo Bontempelli, Benjamin Chapus, François Rigaud, Mathieu Morlon, Marin Lorant, Guillaume Salha-Galvan

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

FastGAE: Scalable graph autoencoders with stochastic subgraph decoding.

Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis

Neural Networks, 2021

Modéliser la perception des genres musicaux à travers différentes cultures à partir de ressources linguistiques (Modeling the Music Genre Perception across Language-Bound Cultures ).

Elena V. Epure, Guillaume Salha-Galvan, Manuel Moussallam, Romain Hennequin

Proceedings of the Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2021

Hierarchical Latent Relation Modeling for Collaborative Metric Learning.

Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders.

Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps.

Léa Briand, Guillaume Salha-Galvan, Walid Bendada, Mathieu Morlon, Viet-Anh Tran

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding.

Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis

CoRR, 2020

Muzeeglot : annotation multilingue et multi-sources d'entités musicales à partir de représentations de genres musicaux (Muzeeglot : cross-lingual multi-source music item annotation from music genre embeddings).

Elena V. Epure, Guillaume Salha, Félix Voituret, Marion Baranes, Romain Hennequin

Proceedings of the Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 2020

Carousel Personalization in Music Streaming Apps with Contextual Bandits.

Walid Bendada, Guillaume Salha, Théo Bontempelli

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Simple and Effective Graph Autoencoders with One-Hop Linear Models.

Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation.

Elena V. Epure, Guillaume Salha, Romain Hennequin

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Modeling the Music Genre Perception across Language-Bound Cultures.

Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks.

Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis

CoRR, 2019

A Degeneracy Framework for Scalable Graph Autoencoders.

Guillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Gravity-Inspired Graph Autoencoders for Directed Link Prediction.

Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Adaptive Submodular Influence Maximization with Myopic Feedback.

Guillaume Salha, Nikolaos Tziortziotis, Michalis Vazirgiannis

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018