<div class="csl-bib-body">
<div class="csl-entry">Ferraro, A., Knees, P., Quadrana, M., Ye, T., & Gouyon, F. (2023). MuRS: Music Recommender Systems Workshop. In J. Zhang, L. Chen, S. Berkovsky, J.-M. Zhang, T. Di Noia, J. Basilico, L. Pizzato, & Y. Song (Eds.), <i>Proceedings of the Seventeenth ACM Conference on Recommender Systems, Singapore, 18th–22nd September 2023</i> (pp. 1227–1230). Association for Computing Machinery (ACM). https://doi.org/10.1145/3604915.3608750</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/193569
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dc.description.abstract
The workshop aims at bridging the existing gap between the diverse research communities focused on the specific challenges of music recommender systems. It will provide a space for researchers and practitioners from multiple disciplines to jointly discuss and exchange perspectives and solutions, and to promote discussion from both academia and industry upon future research directions in the area of music recommender systems.
en
dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
music information retrieval
en
dc.subject
music recommender systems
en
dc.title
MuRS: Music Recommender Systems Workshop
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.contributor.affiliation
Pandora (United States), United States of America (the)
-
dc.contributor.affiliation
Apple (United Kingdom), United Kingdom of Great Britain and Northern Ireland (the)
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dc.contributor.affiliation
Amazon (United States), United States of America (the)
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dc.contributor.affiliation
Pandora (United States), United States of America (the)
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dc.contributor.editoraffiliation
Netflix (United States), United States of America (the)
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dc.contributor.editoraffiliation
Commonwealth Bank of Australia
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dc.relation.isbn
979-8-4007-0241-9
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dc.relation.doi
10.1145/3604915
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dc.description.startpage
1227
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dc.description.endpage
1230
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dc.relation.grantno
P 33526-N
-
dc.rights.holder
The owner/author(s).
-
dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings of the Seventeenth ACM Conference on Recommender Systems, Singapore, 18th–22nd September 2023
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tuw.relation.publisher
Association for Computing Machinery (ACM)
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tuw.relation.publisherplace
New York
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tuw.project.title
Empfehlungssystem & Nutzer: Hin zu gegenseitigem Verständnis
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tuw.researchTopic.id
I4
-
tuw.researchTopic.name
Information Systems Engineering
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tuw.researchTopic.value
100
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tuw.linking
https://sites.google.com/view/murs/
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tuw.publication.orgunit
E194-04 - Forschungsbereich Data Science
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tuw.publisher.doi
10.1145/3604915.3608750
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dc.identifier.libraryid
AC17204088
-
dc.description.numberOfPages
4
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tuw.author.orcid
0000-0003-1236-2503
-
tuw.author.orcid
0000-0003-3906-1292
-
tuw.author.orcid
0000-0001-7878-3728
-
tuw.author.orcid
0009-0007-4075-1887
-
tuw.author.orcid
0000-0001-7070-9937
-
dc.rights.identifier
Urheberrechtsschutz
de
dc.rights.identifier
In Copyright
en
tuw.editor.orcid
0000-0003-2638-4121
-
tuw.editor.orcid
0000-0002-3005-5200
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tuw.editor.orcid
0000-0002-8302-9006
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tuw.event.name
17th ACM Conference on Recommender Systems
en
tuw.event.startdate
18-09-2023
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tuw.event.enddate
22-09-2023
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tuw.event.online
Hybrid
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tuw.event.type
Event for scientific audience
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tuw.event.place
Singapore
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tuw.event.country
SG
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tuw.event.institution
ACM
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tuw.event.presenter
Knees, Peter
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tuw.event.presenter
Ye, Tao
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tuw.event.track
Multi Track
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.value
100
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item.grantfulltext
open
-
item.openairetype
conference paper
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item.openaccessfulltext
Open Access
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item.cerifentitytype
Publications
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item.mimetype
application/pdf
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item.languageiso639-1
en
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
-
item.fulltext
with Fulltext
-
crisitem.project.funder
FWF - Österr. Wissenschaftsfonds
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crisitem.project.grantno
P 33526-N
-
crisitem.author.dept
Pandora (United States)
-
crisitem.author.dept
E194-04 - Forschungsbereich Data Science
-
crisitem.author.dept
Apple (United Kingdom)
-
crisitem.author.dept
Amazon (United States)
-
crisitem.author.dept
Pandora (United States)
-
crisitem.author.orcid
0000-0003-1236-2503
-
crisitem.author.orcid
0000-0003-3906-1292
-
crisitem.author.orcid
0000-0001-7878-3728
-
crisitem.author.orcid
0009-0007-4075-1887
-
crisitem.author.orcid
0000-0001-7070-9937
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
