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

Christine Bauer, Marta Kholodylo, Christine Strauss

Research output: Contribution to conferencePaperAcademic

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.
Original languageEnglish
Pages21-32
Number of pages12
DOIs
Publication statusPublished - 2017
Event30th Bled eConference - Bled, Slovenia
Duration: 18 Jun 201721 Jun 2017
Conference number: 30

Conference

Conference30th Bled eConference
Country/TerritorySlovenia
CityBled
Period18/06/1721/06/17

Keywords

  • Music recommender systems Non-superstar artists Popularity bias Online business

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