<div class="csl-bib-body">
<div class="csl-entry">Neidhardt, J., Kuflik, T., Livne, A., & Zanker, M. (Eds.). (2024). <i>Proceedings of the Workshop on Recommenders in Tourism co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024)</i> (Vol. 3886). http://hdl.handle.net/20.500.12708/210872</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/210872
-
dc.description.sponsorship
Christian Doppler Forschungsgesells
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dc.language.iso
en
-
dc.subject
Tourism Recommender Systems
en
dc.subject
Cold Start Problem
en
dc.subject
Context-aware Recommendations
en
dc.subject
Evaluation of Tourism Recommenders
en
dc.title
Proceedings of the Workshop on Recommenders in Tourism co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024)
en
dc.type
Proceedings
en
dc.type
Tagungsband
de
dc.contributor.editoraffiliation
University of Haifa, Israel
-
dc.contributor.editoraffiliation
Booking.com, Israel
-
dc.contributor.editoraffiliation
Free University of Bozen-Bolzano, Italy
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dc.relation.issn
1613-0073
-
dc.relation.grantno
CDL Neidhardt
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dc.type.category
Full Paper Book
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tuw.container.volume
3886
-
tuw.peerreviewed
true
-
tuw.relation.ispartofseries
CEUR Workshop Proceedings
-
tuw.project.title
Christian Doppler Labor für Weiterentwicklung des State-of-the-Art von Recommender-Systemen in mehreren Domänen
-
tuw.researchTopic.id
I4
-
tuw.researchTopic.name
Information Systems Engineering
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tuw.researchTopic.value
100
-
tuw.publication.orgunit
E194-04 - Forschungsbereich Data Science
-
tuw.publication.orgunit
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML)
