<div class="csl-bib-body">
<div class="csl-entry">Kuflik, T., Kleanthous, S., Neidhardt, J., & Pera, M. S. (Eds.). (2023). <i>Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization</i>. Association for Computing Machinery. https://doi.org/10.1145/3565472</div>
</div>
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dc.identifier.isbn
9781450399326
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/193207
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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
Personalized Recommender Systems, Knowledge Graphs, Semantics, Social and Adaptive Web, Intelligent User Interfaces, Personalizing Learning Experiences through User Modeling, Responsibility, Compliance, and Ethics, Personalization for Persuasive and Behavior Change Systems, Virtual Assistants, Conversational Interactions, and Personalized Human-robot Interaction, Research Methods and Reproducibility
en
dc.subject
Knowledge Graphs
en
dc.subject
Semantics
en
dc.subject
Social and Adaptive Web
en
dc.subject
Intelligent User Interfaces
en
dc.subject
Personalizing Learning Experiences through User Modeling
en
dc.subject
Virtual Assistants
en
dc.subject
Conversational Interactions
en
dc.title
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
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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; CYENS Centre of Excellence
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dc.contributor.editoraffiliation
Delft University of Technology
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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