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 non-superstar artists.
- Organisation(s)
- Department of Accounting, Innovation and Strategy
- External organisation(s)
- Johannes Kepler Universität Linz
- Pages
- 21-32
- No. of pages
- 12
- DOI
- https://doi.org/10.18690/978-961-286-043-1.3
- Publication date
- 01-2017
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 502007 E-commerce
- Keywords
- ASJC Scopus subject areas
- Computer Science Applications, Computer Networks and Communications
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/music-recommender-systems-challenges-and-opportunities-for-nonsuperstar-artists(a68a0cbb-42bc-43f9-9bee-f48e87e9704a).html