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 non-superstar artists.
- Organisation(en)
- Institut für Rechnungswesen, Innovation und Strategie
- Externe Organisation(en)
- Johannes Kepler Universität Linz
- Seiten
- 21-32
- Anzahl der Seiten
- 12
- DOI
- https://doi.org/10.18690/978-961-286-043-1.3
- Publikationsdatum
- 01-2017
- Peer-reviewed
- Ja
- ÖFOS 2012
- 502007 E-Commerce
- Schlagwörter
- ASJC Scopus Sachgebiete
- Computer Science Applications, Computer Networks and Communications
- Link zum Portal
- https://ucrisportal.univie.ac.at/de/publications/music-recommender-systems-challenges-and-opportunities-for-nonsuperstar-artists(a68a0cbb-42bc-43f9-9bee-f48e87e9704a).html