| Vol-4045 urn:nbn:de:0074-4045-X Copyright © 2025 for the individual papers by the papers' authors. Copyright © 2025 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# MuRS 2025
Music Recommender Systems Workshop 2025

### Proceedings of the 3rd Music Recommender Systems Workshop (MuRS 2025)
co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025)

### Prague, Czech Republic, September 22, 2025.

Edited by

### Andres Ferraro 1
Lorenzo Porcaro 2
Christine Bauer 3

1 Pandora/SiriusXM, Barcelona, Spain
2 Sapienza University of Rome, Department of Computer, Control and Management Engineering, Rome, Italy
3 University of Salzburg, Department of Artificial Intelligence and Human Interfaces, Salzburg, Austria

## 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

2025-09-20: submitted by Christine Bauer, metadata incl. bibliographic data published under Creative Commons CC0
2025-09-28: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|