Multiple Stakeholders in Music Recommender Systems
Not on the map. Why?
Abstract (arXiv)
Music recommendation services collectively spin billions of songs for millions of listeners on a daily basis. Users can typically listen to a variety of songs tailored to their personal tastes and preferences. Music is not the only type of content encountered in these services, however. Advertisements are generally interspersed throughout the music stream to generate revenue for the business. Additional content may include artist messaging, ticketing, sports, news and weather. In this paper, we discuss issues that arise when multiple content providers are stakeholders in the recommendation process. These stakeholders each have their own objectives and must work in concert to sustain a healthy music recommendation service.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 1 Aug 2017.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 1.
1 paper.
- 2022Fair Effect Attribution in Parallel Online Experimentscited by 0
- 2022Fair Effect Attribution in Parallel Online Experiments15 Oct 2022