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

Christine Bauer, Marta Kholodylo, Christine Strauss

Veröffentlichungen: Beitrag zu KonferenzPaperPeer Reviewed

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 nonsuperstar artists.
OriginalspracheEnglisch
Seiten21-32
PublikationsstatusVeröffentlicht - Juni 2017
Veranstaltung30th Bled Conference: Digital Transformation - From Connecting Things to Transforming Our Lives - Bled, Slowenien
Dauer: 18 Juni 201721 Juni 2017
http://bledconference.org/

Konferenz

Konferenz30th Bled Conference
Land/GebietSlowenien
OrtBled
Zeitraum18/06/1721/06/17
Internetadresse

ÖFOS 2012

  • 502050 Wirtschaftsinformatik
  • 502052 Betriebswirtschaftslehre

Zitationsweisen