Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization. - Bruno Sguerra; Viet-Anh Tran; Romain Hennequin (RecSys, 2022)

Navigational, Informational or Punk-Rock? An Exploration of Search Intent in the Musical Domain. - Bruno Sguerra; Marion Baranes; Romain Hennequin; Manuel Moussallam (UMAP, 2022)

Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect. - Bruno Sguerra; Viet-Anh Tran; Romain Hennequin (RecSys, 2023)

Attention Mixtures for Time-Aware Sequential Recommendation. - Viet-Anh Tran; Guillaume Salha-Galvan; Bruno Sguerra; Romain Hennequin (SIGIR, 2023)

Modeling Activity-Driven Music Listening with PACE. - Lilian Marey; Bruno Sguerra; Manuel Moussallam (CHIIR, 2024)

Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation. - Viet-Anh Tran; Guillaume Salha-Galvan; Bruno Sguerra; Romain Hennequin (RecSys, 2024)

Psychology-informed Information Access Systems Workshop. - Markus Schedl; Marta Moscati; Bruno Sguerra; Romain Hennequin; Elisabeth Lex (WSDM, 2024)

Modeling Musical Genre Trajectories through Pathlet Learning. - Lilian Marey; Charlotte Laclau; Bruno Sguerra; Tiphaine Viard; Manuel Moussallam (UMAP (Adjunct Publication), 2025)

Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs. - Marta Moscati; Darius Afchar; Markus Schedl; Bruno Sguerra (UMAP, 2025)

Uncertainty in Repeated Implicit Feedback as a Measure of Reliability. - Bruno Sguerra; Viet-Anh Tran; Romain Hennequin; Manuel Moussallam (UMAP, 2025)

Biases in LLM-Generated Musical Taste Profiles for Recommendation. - Bruno Sguerra; Elena V. Epure; Harin Lee; Manuel Moussallam (CoRR, 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, 2025)