MuRS: Music Recommender Systems Workshop 2025

Objectives

The workshop aims at bridging the existing gap between the diverse research communities focused on challenges specific to music recommender systems. The workshop will provide a space for researchers and practitioners from multiple disciplines, from both academia and industry, to exchange perspectives and to promote discussion on future research directions in the area of music recommender systems.

Program Committee

Workshop Chairs

• Andrés Ferraro (SiriusXM)

• Lorenzo Porcaro (Sapienza University of Rome)

• Christine Bauer (University of Salzburg)

Program Committee

• Darius Afchar (Deezer Research)

• Filippo Betello (Sapienza University of Rome)

• Clara Borrelli (Apple)

• Ben Fields (Laka)

• Giovanni Gabbolini (Apple)

• Florian Graf (University of Salzburg)

• Juan Sebastián Gómez Cañón (Stanford University)

• Jaehun Kim (SiriusXM)

• Dominik Kowald (Know-Center and University of Graz)

• Elisabeth Lex (Graz University of Technology)

• M. Jeffrey Mei (SiriusXM)

• Marta Moscati (Johannes Kepler University Linz)

• Antonio Purificato (Sapienza University of Rome)

• Guillaume Salha-Galvan (Shanghai Jiao Tong University)

• Bruno Sguerra (Deezer Research)

• Marko Tkalcic (University of Primorska)

• Viet Anh Tran (Deezer Research)

• Douglas Turnbull (Ithaca College)

• João Vinagre (Joint Research Centre – European Commission)

• Eva Zangerle (University of Innsbruck)