Music Recommender Systems - Challenges and Opportunities for Non-Superstar Artists
- Author(s)
- Christine Bauer, Marta Kholodylo, Christine Strauss
- Abstract
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(s)
- Department of Accounting, Innovation and Strategy
- External organisation(s)
- Johannes Kepler Universität Linz
- Pages
- 21-32
- Publication date
- 06-2017
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 502050 Business informatics, 502052 Business administration
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/music-recommender-systems--challenges-and-opportunities-for-nonsuperstar-artists(1a88d855-faf6-4a2a-b7dc-d1e87f294af1).html