<div class="csl-bib-body">
<div class="csl-entry">Kolb, T. E. (2024). Enhancing Cross-Domain Recommender Systems with LLMs: Evaluating Bias and Beyond-Accuracy Measures. In <i>RecSys ’24: Proceedings of the 18th ACM Conference on Recommender Systems</i> (pp. 1388–1394). Association for Computing Machinery. https://doi.org/10.1145/3640457.3688027</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/204479
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dc.description.sponsorship
Christian Doppler Forschungsgesells
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dc.language.iso
en
-
dc.subject
cross-domain recommender systems
en
dc.subject
beyond-accuracy
en
dc.subject
LLMs
en
dc.subject
bias
en
dc.title
Enhancing Cross-Domain Recommender Systems with LLMs: Evaluating Bias and Beyond-Accuracy Measures
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.isbn
979-8-4007-0505-2
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dc.relation.doi
10.1145/3640457
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dc.description.startpage
1388
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dc.description.endpage
1394
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dc.relation.grantno
CDL Neidhardt
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems
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tuw.peerreviewed
true
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tuw.relation.publisher
Association for Computing Machinery
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tuw.relation.publisherplace
New York, NY, United States
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tuw.project.title
Christian Doppler Labor für Weiterentwicklung des State-of-the-Art von Recommender-Systemen in mehreren Domänen
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tuw.researchTopic.id
I4
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tuw.researchTopic.name
Information Systems Engineering
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E194-04 - Forschungsbereich Data Science
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tuw.publisher.doi
10.1145/3640457.3688027
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dc.description.numberOfPages
7
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tuw.author.orcid
0000-0002-2340-0854
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tuw.event.name
RecSys '24: 18th ACM Conference on Recommender Systems
en
tuw.event.startdate
14-10-2024
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tuw.event.enddate
18-10-2024
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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
Bari
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tuw.event.country
IT
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tuw.event.presenter
Kolb, Thomas Elmar
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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.languageiso639-1
en
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conference paper
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Publications
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http://purl.org/coar/resource_type/c_5794
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E194-04 - Forschungsbereich Data Science
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crisitem.author.orcid
0000-0002-2340-0854
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crisitem.author.parentorg
E194 - Institut für Information Systems Engineering