MuRS: Music Recommender Systems Workshop 2024

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 (Joint Research Centre of the European Commission)

• Peter Knees (TU Wien)

• Christine Bauer (Paris Lodron University Salzburg)

Program Committee

• Darius Afchar (Deezer)

• Jesse Anderton (Spotify)

• Clara Borrelli (Apple)

• Alex Buchholz (Amazon Music)

• Fabien Gouyon (SirusXM)

• Jaehun Kim (SirusXM)

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

• Elisabeth Lex (Graz University of Technology)

• Cynthia Liem (TU Delft)

• Ilaria Manco (QMUL)

• Bruno Massoni Sguerra (Deezer)

• Marta Moscati (JKU Linz)

• Manuel Moussallam (Deezer)

• Massimo Quadrana (Apple)

• Viet Anh Tran (Deezer)

• Doug Turnbull (Ithaca College)

• Tao Ye (Amazon Music)

• Eva Zangerle (University of Innsbruck)