Bruno Sguerra

According to our database, Bruno Sguerra authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

"Beyond the past": Leveraging Audio and Human Memory for Sequential Music Recommendation.

Viet-Anh Tran, Bruno Sguerra, Gabriel Meseguer-Brocal, Léa Briand, Manuel Moussallam

CoRR, July, 2025

Biases in LLM-Generated Musical Taste Profiles for Recommendation.

Bruno Sguerra, Elena V. Epure, Harin Lee, Manuel Moussallam

CoRR, July, 2025

Uncertainty in Repeated Implicit Feedback as a Measure of Reliability.

Bruno Sguerra, Viet-Anh Tran, Romain Hennequin, Manuel Moussallam

Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025

Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs.

Marta Moscati, Darius Afchar, Markus Schedl, Bruno Sguerra

Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025

Modeling Musical Genre Trajectories through Pathlet Learning.

Lilian Marey, Charlotte Laclau, Bruno Sguerra, Tiphaine Viard, Manuel Moussallam

Proceedings of the Adjunct Proceedings of the 33rd ACM Conference on User Modeling, 2025

2024

Psychology-informed Information Access Systems Workshop.

Markus Schedl, Marta Moscati, Bruno Sguerra, Romain Hennequin, Elisabeth Lex

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 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

Modeling Activity-Driven Music Listening with PACE.

Lilian Marey, Bruno Sguerra, Manuel Moussallam

Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and 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

Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect.

Bruno Sguerra, Viet-Anh Tran, Romain Hennequin

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

2022

Navigational, Informational or Punk-Rock? An Exploration of Search Intent in the Musical Domain.

Bruno Sguerra, Marion Baranes, Romain Hennequin, Manuel Moussallam

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization.

Bruno Sguerra, Viet-Anh Tran, Romain Hennequin

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