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.
%0 Conference Paper
%1 bled2017
%A Bauer, Christine
%A Kholodylo, Marta
%A Strauss, Christine
%B 30th Bled eConference
%C Maribor, Slovenia
%D 2017
%E Pucihar, Andreja
%E Borštnar, Mirjana Kljajić
%E Kittl, Christian
%E Ravesteijn, Pascal
%E Clarke, Roger
%E Bons, Roger
%I University of Maribor Press
%K artists imported music myown recsys
%P 21-32
%R 10.18690/978-961-286-043-1.3
%T Music Recommender Systems: Challenges and Opportunities for Non-Superstar Artists
%U http://dblp.uni-trier.de/db/conf/bled/bled2017.html#0001KS17
%X 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.
%@ 978-961-286-043-1
@inproceedings{bled2017,
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.},
added-at = {2019-04-27T18:22:14.000+0200},
address = {Maribor, Slovenia},
author = {Bauer, Christine and Kholodylo, Marta and Strauss, Christine},
biburl = {https://www.bibsonomy.org/bibtex/22f3cd4914c1913b02f887fad3345a212/bauerc},
booktitle = {30th Bled eConference},
doi = {10.18690/978-961-286-043-1.3},
editor = {Pucihar, Andreja and Borštnar, Mirjana Kljajić and Kittl, Christian and Ravesteijn, Pascal and Clarke, Roger and Bons, Roger},
eventdate = {18-21 June},
eventtitle = {30th Bled eConference},
interhash = {7a1be17d30cee0e6ed0e7f50eb15309f},
intrahash = {2f3cd4914c1913b02f887fad3345a212},
isbn = {978-961-286-043-1},
keywords = {artists imported music myown recsys},
language = {English},
month = {June},
pages = {21-32},
publisher = {University of Maribor Press},
timestamp = {2020-06-14T00:46:50.000+0200},
title = {Music Recommender Systems: Challenges and Opportunities for Non-Superstar Artists},
type = {Conference Proceedings},
url = {http://dblp.uni-trier.de/db/conf/bled/bled2017.html#0001KS17},
venue = {Bled, Slovenia},
year = 2017
}