| Vol-3787 urn:nbn:de:0074-3787-1 Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 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 2024
MuRS: 2nd Music Recommender Systems Workshop 2024

### Proceedings of the 2nd Music Recommender Systems Workshop 2024
co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024)

### Bari, Italy, October 14, 2024.

Edited by

### Andres Ferraro *
Lorenzo Porcaro **, ***
Peter Knees ****
Christine Bauer *****

* SiriusXM, Oakland, CA, USA
** Sapienza University of Rome, Department of Computer, Control and Management Engineering, Rome, Italy
*** Joint Research Centre, European Commission, Ispra, Italy
**** TU Wien, Faculty of Informatics, Vienna, Austria
***** Paris Lodron University Salzburg, Department of Artificial Intelligence and Human Interfaces, Salzburg, Austria

## Table of Contents

- Preface
  Summary: There were 12 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume. Furthermore, two out of two submitted previously published papers were accepted for presentation in this workshop. Out of these, one is included as an abstract in this volume.
- Towards Characterising Induced Emotions: Exploiting Physiological Data and Investigating the Effect of Music Familiarity
  Ismaël Tankeu, Geoffray Bonnin
- Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for Recommender Tasks
  Florian Grötschla, Luca Strässle, Luca A. Lanzendörfer, Roger Wattenhofer
- Hard Negative Sampling for Music Recommendation: Real-World Impacts on Accuracy and Diversity
  M. Jeffrey Mei, Oliver Bembom, Andreas F. Ehmann
- End-user Algorithmic Auditing for Music Discoverability: A Research Roadmap
  Lorenzo Porcaro, Emilia Gómez, Tiziana Catarci
- Navigating Discoverability in the Digital Era: A Theoretical Framework
  Rebecca Salganik, Valdy Wiratama, Adelaida Afilipoaie, Heritiana Ranaivoson
- Talking to Your Recs: Multimodal Embeddings For Recommendation and Retrieval
  Sergio Oramas, Andres Ferraro, Alvaro Sarasua, Fabien Gouyon
- 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

2024-10-10: submitted by Christine Bauer, metadata incl. bibliographic data published under Creative Commons CC0
2024-10-11: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|