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/1a88d855-faf6-4a2a-b7dc-d1e87f294af1