Music recommender systems challenges and opportunities for non-superstar artists

Christine Bauer; Marta Kholodylo; Christine Strauss

doi:10.18690/978-961-286-043-1.3

Music recommender systems challenges and opportunities for non-superstar artists

Christine Bauer
, Marta Kholodylo
, Christine Strauss

Department of Accounting, Innovation and Strategy

Publications: Contribution to book › Contribution to proceedings › Peer 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 non-superstar artists.

Original language	English
Title of host publication	30th Bled eConference
Subtitle of host publication	Digital Transformation - From Connecting Things to Transforming our Lives, BLED 2017
Publisher	Association for Information Systems Electronic Library, AISeL
Pages	21-32
Number of pages	12
ISBN (Electronic)	9789612860431
DOIs	https://doi.org/10.18690/978-961-286-043-1.3
Publication status	Published - 1 Jan 2017
Event	30th Bled eConference: Digital Transformation - From Connecting Things to Transforming our Lives, BLED 2017 - Bled, Slovenia Duration: 18 Jun 2017 → 21 Jun 2017

Conference

Conference	30th Bled eConference: Digital Transformation - From Connecting Things to Transforming our Lives, BLED 2017
Country/Territory	Slovenia
City	Bled
Period	18/06/17 → 21/06/17

Austrian Fields of Science 2012

502007 E-commerce

Keywords

Music recommender systems
Non-superstar artists
Online business
Popularity bias

Access to Document

10.18690/978-961-286-043-1.3

https://phaidra.univie.ac.at/o:2077127

Cite this

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title = "Music recommender systems challenges and opportunities for non-superstar artists",

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{\textquoteright} 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{\textquoteright}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.",

keywords = "Music recommender systems, Non-superstar artists, Online business, Popularity bias",

author = "Christine Bauer and Marta Kholodylo and Christine Strauss",

year = "2017",

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doi = "10.18690/978-961-286-043-1.3",

language = "English",

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booktitle = "30th Bled eConference",

publisher = "Association for Information Systems Electronic Library, AISeL",

note = "30th Bled eConference: Digital Transformation - From Connecting Things to Transforming our Lives, BLED 2017 ; Conference date: 18-06-2017 Through 21-06-2017",

}

Bauer, C, Kholodylo, M & Strauss, C 2017, Music recommender systems challenges and opportunities for non-superstar artists. in 30th Bled eConference: Digital Transformation - From Connecting Things to Transforming our Lives, BLED 2017. Association for Information Systems Electronic Library, AISeL, pp. 21-32, 30th Bled eConference: Digital Transformation - From Connecting Things to Transforming our Lives, BLED 2017, Bled, Slovenia, 18/06/17. https://doi.org/10.18690/978-961-286-043-1.3

Music recommender systems challenges and opportunities for non-superstar artists. / Bauer, Christine; Kholodylo, Marta; Strauss, Christine.
30th Bled eConference: Digital Transformation - From Connecting Things to Transforming our Lives, BLED 2017. Association for Information Systems Electronic Library, AISeL, 2017. p. 21-32.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

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PY - 2017/1/1

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AB - 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.

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KW - Non-superstar artists

KW - Online business

KW - Popularity bias

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DO - 10.18690/978-961-286-043-1.3

M3 - Contribution to proceedings

AN - SCOPUS:85041804643

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EP - 32

BT - 30th Bled eConference

PB - Association for Information Systems Electronic Library, AISeL

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Y2 - 18 June 2017 through 21 June 2017

ER -

Music recommender systems challenges and opportunities for non-superstar artists

Abstract

Conference

Austrian Fields of Science 2012

Keywords

Access to Document

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