MuRS: Music Recommender Systems Workshop 2026

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 (Nowon AG)

• Lorenzo Porcaro (Sapienza University of Rome)

• Marta Moscati (JKU and Albatross AI)

• Christine Bauer (University of Salzburg)

Program Committee

• Darius Afchar (Deezer Research)

• Clara Borelli (Apple)

• Elena V. Epure (Idiap and Deezer Research)

• Fabien Gouyon (Pandora-SXM)

• Romain Hennequin (Deezer Research)

• Jaehun Kim (Pandora-SXM)

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

• Oleg Lesota (JKU Linz)

• Jeffrey Mei (Pandora-SXM)

• Massimo Quadrana (Apple)

• Valdy Wiratama (University of Salzburg)

• Tao Ye (Lyft)

• Xinwei Xu (ETH Zürich)