<div class="csl-bib-body">
<div class="csl-entry">Wagne, A., & Neidhardt, J. (2024). What to compare? Towards understanding user sessions on price comparison platforms. In T. Di Noia, P. Lops, T. Joachims, katrien verbert, P. Castells, Z. Dong, & B. London (Eds.), <i>RecSys ’24: Proceedings of the 18th ACM Conference on Recommender Systems</i> (pp. 1158–1162). Association for Computing Machinery. https://doi.org/10.1145/3640457.3691717</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/203683
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dc.description.abstract
E-commerce and online shopping have become integral to the lives of many, with various user behavior types historically identified. Beyond deciding what to buy, determining where to make a purchase has led to the importance of price comparison platforms. However, user behavior on these platforms remains underexplored. Furthermore, web analytics often struggle with tracking users over time and deriving meaningful user types from data. This paper addresses these gaps by defining session types through the analysis and clustering of user logs from a major price comparison platform. The study identifies six distinct session clusters: quick peek, major purchase, constraint-based browsing, knowledge seeking, search and browse and heavy browsing. These findings are intended to inform the design and development of a conversational recommender system (CRS). Often, CRS development occurs without adequate consideration of the existing system into which it will be integrated. The study’s findings, derived from both quantitative analysis and expert interviews, provide valuable contributions, including identified session clusters, their interpretation and indicators on which users might benefit from a CRS on these platforms.
en
dc.description.sponsorship
Christian Doppler Forschungsgesellschaft
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dc.language.iso
en
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dc.subject
Conversational Recommender Systems
en
dc.subject
User Modelling
en
dc.subject
E-commerce
en
dc.subject
Price Comparison
en
dc.title
What to compare? Towards understanding user sessions on price comparison platforms
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.editoraffiliation
KU Leuven, Belgium
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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
1158
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dc.description.endpage
1162
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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
-
tuw.relation.publisher
Association for Computing Machinery
-
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
C3
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tuw.researchTopic.name
Computational System Design
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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
10.1145/3640457.3691717
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dc.description.numberOfPages
5
-
tuw.author.orcid
0009-0009-9314-206X
-
tuw.author.orcid
0000-0001-7184-1841
-
tuw.editor.orcid
0000-0002-6866-9451
-
tuw.editor.orcid
0000-0003-3654-3683
-
tuw.editor.orcid
0000-0001-6699-7710
-
tuw.editor.orcid
0000-0003-0668-6317
-
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
-
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
Wagne, Ahmadou
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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.fulltext
no Fulltext
-
item.grantfulltext
none
-
item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.languageiso639-1
en
-
item.openairetype
conference paper
-
item.cerifentitytype
Publications
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crisitem.project.funder
Christian Doppler Forschungsgesells
-
crisitem.project.grantno
CDL Neidhardt
-
crisitem.author.dept
E194-04 - Forschungsbereich Data Science
-
crisitem.author.dept
E194-04 - Forschungsbereich Data Science
-
crisitem.author.orcid
0009-0009-9314-206X
-
crisitem.author.orcid
0000-0001-7184-1841
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering