Music Recommender Systems - Challenges and Opportunities for Non-Superstar Artists

Autor(en)
Christine Bauer, Marta Kholodylo, Christine Strauss
Abstrakt

Music Recommender Systems (MRS) are important drivers in music industry and are widely adopted by music platforms. Other than most MRS research exploring MRS from a technical or from a consumers’ perspective, this work focuses on the impact, value generation, challenges and opportunities for those, who contribute the core value, i.e. the artists. We outline the non-superstar artist’s perspective on MRS, and explore the question if and how non-superstar artists may benefit from MRS to foster their professional advancement. Thereby, we explain several techniques how MRS generate recommendations and discuss their impact on nonsuperstar artists.

Organisation(en)
Institut für Rechnungswesen, Innovation und Strategie
Externe Organisation(en)
Johannes Kepler Universität Linz
Seiten
21-32
Publikationsdatum
06-2017
Peer-reviewed
Ja
ÖFOS 2012
502050 Wirtschaftsinformatik, 502052 Betriebswirtschaftslehre
Link zum Portal
https://ucrisportal.univie.ac.at/de/publications/music-recommender-systems--challenges-and-opportunities-for-nonsuperstar-artists(1a88d855-faf6-4a2a-b7dc-d1e87f294af1).html