Titel
Music Recommender Systems Challenges and Opportunities for Non-Superstar Artists
Autor*in
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.
Stichwort
Music Recommender SystemsNon-superstar artistsPopularity biasOnline Business
Objekt-Typ
Sprache
Englisch [eng]
Persistent identifier
Enthalten in
Titel
30TH BLED ECONFERENCE: DIGITAL TRANSFORMATION
FROM CONNECTING THINGS TO TRANSFORMING OUR LIVES
ISBN
978-961-286-043-1
Herausgeber*in
A. Pucihar
Verlag
University of Maribor Press , 2017
Seitenanfang
21
Seitenende
32
Zugänglichkeit
Rechte
Rechteangabe
© 2017 University of Maribor Press
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