<div class="csl-bib-body">
<div class="csl-entry">Neidhardt, J., Kuflik, T., Livne, A., & Zanker, M. (2024). Workshop on Recommenders in Tourism (RecTour) 2024. In <i>RecSys ’24: Proceedings of the 18th ACM Conference on Recommender Systems</i> (pp. 1229–1231). https://doi.org/10.1145/3640457.3687107</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/209935
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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. This year, the workshop features a special challenge focused on ranking travel reviews. 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
cold start problem
en
dc.subject
context-aware recommendations
en
dc.subject
evaluation of tourism recommenders
en
dc.subject
Tourism recommenders
en
dc.subject
travel reviews
en
dc.title
Workshop on Recommenders in Tourism (RecTour) 2024
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.isbn
979-8-4007-0505-2
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dc.description.startpage
1229
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dc.description.endpage
1231
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dc.relation.grantno
CDL Neidhardt
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dc.type.category
Editorial
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tuw.booktitle
RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems
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tuw.peerreviewed
false
-
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
-
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
10.1145/3640457.3687107
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dc.description.numberOfPages
3
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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.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
Neidhardt, Julia
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tuw.event.presenter
Kuflik, Tsvi
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tuw.event.presenter
Livne, Amit
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tuw.event.presenter
Zanker, Markus
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tuw.event.track
Single Track
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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.languageiso639-1
en
-
item.openairetype
conference paper
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item.grantfulltext
none
-
item.fulltext
no Fulltext
-
item.cerifentitytype
Publications
-
item.openairecristype
http://purl.org/coar/resource_type/c_5794
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crisitem.author.dept
E194-04 - Forschungsbereich Data Science
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crisitem.author.dept
University of Haifa
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crisitem.author.dept
Booking.com, Israel
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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.parentorg
E194 - Institut für Information Systems Engineering
