MuRS 2025
Music Recommender Systems Workshop 2025

Table of Contents

• Preface
  Summary: There were 21 papers submitted for peer-review to this workshop. Out of these, 9 papers were accepted for this volume.

Session 1: LLM, Content, and Multi-modality

• Audio, Lyrics, Videoclips, Interactions? An Analysis of Uni- and Multi-modal Music Retrieval Systems in Terms of Accuracy and Beyond-accuracy Aspects
  Marta Moscati, Gustavo Escobedo, Eduardo Hernandez Almanza, Jonas Peché, Markus Schedl
• Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for Recommender Tasks
  Shahrzad Shashaani, Peter Knees
• Using Language Models for Music Recommendations with Natural-Language Profiles
  Paul Gagliano, Griffin Homan, Douglas Turnbull, Venkata S Govindarajan

Session 2: Recommendation, Hit Prediction, and Behavior Analysis

• Recommending for the Audience: Tailoring a Live Concert Program to the Music Preferences of the Listeners
  Martijn C. Willemsen, Yu Liang
• A Unified Recommendation Model for Features Summarization
  Vito Bellini, Zhan Shi, Huseyin Yurtseven, Emanuele Coviello
• An Analysis of the Evolution of Music Listening Data and the Need for Task Discernment
  Shahrzad Shashaani, Pavan Seshadri, Peter Knees

Session 3: FAccT

• User-Driven Fairness in Music Recommendations: Effects on Experience
  Shah Noor Khan, Jesse Nieuwkoop, Judith Masthoff
• Artist Considerations in Offline Evaluation of Music Recommender Systems
  Gregor Meehan, Johan Pauwels
• HUMMUS: A Human-Centered Approach to Sequential Recommendation Explainability through Data Humanism
  Ibrahim Al-Hazwani, Matthias Mylaeus, Daniela Mormocea, Jürgen Bernard, Lorenzo Porcaro