MuRS 2024
MuRS: 2nd Music Recommender Systems Workshop 2024

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