MuRS: Music Recommender Systems Workshop

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 (Pandora-SiriusXM)

• Peter Knees (TU Wien)

• Massimo Quadrana (Apple)

• Tao Ye (Amazon)

• Fabien Gouyon (Pandora-SiriusXM)

Program Committee

• Antonio Ramires (Beatoven.ai)

• Christine Bauer (Paris Lodron University Salzburg)

• Chun Guo (Pandora-SiriusXM)

• Clara Borrelli (Apple)

• Cynthia Liem (TU Delft)

• Erik Schmidt (Netflix)

• Giovanni Gabbolini (Apple)

• Kristiana Schneck (Pandora-SiriusXM)

• Lorenzo Porcaro (Joint Research Centre of the European Commission)

• Lien Michiels (U of Antwerp)

• Markus Schedl (JKU Linz)

• Oriol Nieto (Adobe) 

• Sergio Oramas (Pandora-SiriusXM) 

• Zahra Rahimi (Amazon Music)