<div class="csl-bib-body">
<div class="csl-entry">Kuflik, T., Kleanthous, S., Neidhardt, J., & Pera, M. S. (Eds.). (2023). <i>Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization</i>. Association for Computing Machinery. https://doi.org/10.1145/3563359</div>
</div>
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dc.identifier.isbn
9781450398916
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/192671
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dc.description.sponsorship
Christian Doppler Forschungsgesells
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dc.language.iso
en
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dc.publisher
Association for Computing Machinery
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dc.subject
Adaptive and Personalized Persuasive Technologies
en
dc.subject
Personalized Access to Cultural Heritage
en
dc.subject
Human Aspects in Adaptive and Personalized Interactive Environments
en
dc.subject
Group Modeling
en
dc.subject
Fairness in User Modeling
en
dc.subject
Explainable User Models
en
dc.subject
Context Representation in User Modelling
en
dc.title
Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
en
dc.type
Proceedings
en
dc.type
Tagungsband
de
dc.contributor.editoraffiliation
The University of Haifa, Israel
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dc.contributor.editoraffiliation
Open University of Cyprus, Cyprus
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dc.contributor.editoraffiliation
Delft University of Technology, Netherlands (the)
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dc.relation.grantno
CDL Neidhardt
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dc.type.category
Full Paper Book
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tuw.project.title
Christian Doppler Labor für Weiterentwicklung des State-of-the-Art von Recommender-Systemen in mehreren Domänen
