<div class="csl-bib-body">
<div class="csl-entry">Neidhardt, J., Kuflik, T., Livne, A., Zanker, M., & Wörndl, W. (2025). Workshop on Recommenders in Tourism (RecTour) 2025. In <i>RecSys ’25: Proceedings of the Nineteenth ACM Conference on Recommender Systems</i> (pp. 1412–1413). Association for Computing Machinery. https://doi.org/10.1145/3705328.3748500</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/225645
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dc.description.abstract
The Workshop on Recommenders in Tourism (RecTour) has been successfully held in conjunction with the ACM Conference on Recommender Systems (RecSys) since 2016, with the exception of one year. This workshop focuses on the unique and evolving challenges of recommender systems in the tourism domain. Over time, RecTour has fostered an active community supported by both academia and industry. In this overview paper, we outline our motivations for organizing the RecTour workshop and highlight the main topics covered in RecTour submissions, including destination recommendation, privacy concerns in travel recommender systems, the cold-start problem, transformer-based approaches in recommendation systems, and best practices for evaluation and experimentation.
en
dc.description.sponsorship
Christian Doppler Forschungsgesells
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dc.language.iso
en
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dc.subject
datasets
en
dc.subject
evaluation of tourism recommenders
en
dc.subject
LLMs in tourism
en
dc.subject
next-POI recommendations
en
dc.subject
Tourism recommenders
en
dc.title
Workshop on Recommenders in Tourism (RecTour) 2025
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
University of Haifa, Israel
-
dc.contributor.affiliation
Free University of Bozen-Bolzano, Italy
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dc.contributor.affiliation
Technical University of Munich, Germany
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dc.relation.isbn
979-8-4007-1364-4
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dc.relation.doi
10.1145/3705328
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dc.description.startpage
1412
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dc.description.endpage
1413
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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 '25: Proceedings of the Nineteenth 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, USA
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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.publication.orgunit
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML)
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tuw.publisher.doi
10.1145/3705328.3748500
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dc.description.numberOfPages
2
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tuw.author.orcid
0000-0001-7184-1841
-
tuw.author.orcid
0000-0003-0096-4240
-
tuw.author.orcid
0000-0001-9998-2400
-
tuw.author.orcid
0000-0002-4805-5516
-
tuw.author.orcid
0000-0003-2972-5817
-
tuw.event.name
19th ACM Conference on Recommender Systems (RecSys '25)
en
tuw.event.startdate
22-09-2025
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tuw.event.enddate
26-09-2025
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Prag
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tuw.event.country
CZ
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tuw.event.presenter
Neidhardt, Julia
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wb.sciencebranch
Informatik
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wb.sciencebranch
Wirtschaftswissenschaften
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
5020
-
wb.sciencebranch.value
90
-
wb.sciencebranch.value
10
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.fulltext
no Fulltext
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item.languageiso639-1
en
-
item.grantfulltext
none
-
item.openairetype
conference paper
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item.cerifentitytype
Publications
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crisitem.author.dept
E194-04 - Forschungsbereich Data Science
-
crisitem.author.dept
University of Haifa, Israel
-
crisitem.author.dept
Free University of Bozen-Bolzano, Italy
-
crisitem.author.dept
Technical University of Munich, Germany
-
crisitem.author.orcid
0000-0001-7184-1841
-
crisitem.author.orcid
0000-0003-0096-4240
-
crisitem.author.orcid
0000-0001-9998-2400
-
crisitem.author.orcid
0000-0002-4805-5516
-
crisitem.author.orcid
0000-0003-2972-5817
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering