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 language | English |
|---|---|
| Pages | 21-32 |
| Number of pages | 12 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | 30th Bled eConference - Bled, Slovenia Duration: 18 Jun 2017 → 21 Jun 2017 Conference number: 30 |
Conference
| Conference | 30th Bled eConference |
|---|---|
| Country/Territory | Slovenia |
| City | Bled |
| Period | 18/06/17 → 21/06/17 |
Keywords
- Music recommender systems Non-superstar artists Popularity bias Online business
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