Original: https://ceur-ws.org/Vol-3787/ | Mirror: https://ceur-ws.wikidata.dbis.rwth-aachen.de/Vol-3787/ | Year: 2024

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 https://creativecommons.org/licenses/by/4.0/.

MuRS 2024

Proceedings of the 2nd Music Recommender Systems Workshop 2024
co-located with RecSys 2024

Bari, Italy, October 14, 2024.

Edited by

Andres Ferraro
Lorenzo Porcaro
Peter Knees
Christine Bauer

Table of Contents

PDF
Towards Characterising Induced Emotions: Exploiting Physiological Data and Investigating the Effect of Music Familiarity PDF
Ismaël Tankeu, Geoffray Bonnin
Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for Recommender Tasks PDF
Florian Grötschla, Luca Strässle, Luca A. Lanzendörfer, Roger Wattenhofer
Hard Negative Sampling for Music Recommendation: Real-World Impacts on Accuracy and Diversity PDF
M. Jeffrey Mei, Oliver Bembom, Andreas F. Ehmann
End-user Algorithmic Auditing for Music Discoverability: A Research Roadmap PDF
Lorenzo Porcaro, Emilia Gómez, Tiziana Catarci
Navigating Discoverability in the Digital Era: A Theoretical Framework PDF
Heritiana Ranaivoson, Rebecca Salganik, Valdy Wiratama, Adelaida Afilipoaie
Talking to Your Recs: Multimodal Embeddings For Recommendation and Retrieval PDF
Fabien Gouyon, Álvaro Sarasúa, Sergio Oramas, Andres Ferraro
Let’s Get It Started (Again!): Fostering the Discoverability of New Releases on Deezer PDF
Thomas Bouabça, François Rigaud, Benjamin Chapus, Mathieu Morlon, Léa Briand, Théo Bontempelli, Walid Bendada, Guillaume Salha

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