ACM UMAP 2021 : 29th Conference on User Modeling, Adaptation and Personalization

Utrecht, the Netherlands & Online
Event Date: Jun 21, 2021 - Jun 25, 2021
Abstract Submission Deadline: Jan 17, 2021
Submission Deadline: Jan 24, 2021
Notification of Acceptance: Mar 08, 2021
Camera Ready Version Due : Apr 11, 2021


ACM UMAP – User Modeling, Adaptation and Personalization – is the premier international conference for researchers and practitioners working on systems that adapt to individual users or to groups of users, and that collect, represent, and model user information. ACM UMAP is sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling Inc. as the core Steering Committee, extended with past years’ chairs. The proceedings are published by ACM and will be part of the ACM Digital Library.

ACM UMAP covers a wide variety of research areas where personalization and adaptation may be applied. This includes a number of domains in which researchers are engendering significant innovations based on advances in user modeling and adaptation, recommender systems, adaptive educational systems, intelligent user interfaces, e-commerce, advertising, digital humanities, social networks, personalized health, entertainment, and many more.

We welcome submissions related to user modeling, personalization and adaptation; the conference web site provides a detailed list. Below we present a short (but not proscriptive) list of topics of importance to the conference. As the theme for UMAP 2021 is “Re-Evaluating Evaluation” we encourage submissions in all areas that offer a critical analysis of evaluations of personalized systems. We particularly want to acknowledge that some of the research might be influenced by Covid-19 related constraints (e.g., difficulty of running lab studies), and welcome submissions which introduce novel methodologies arising from a need to conduct research in new ways.

Call For Paper

We welcome submissions related to user modeling, personalization and adaptation in any area. The topics listed below are not intended to limit possible contributions.
Final decisions will be made on the basis of suitability for, and fit to, the overall conference (not for specific tracks). Additionally, there is no quota for the maximal number of accepted papers per track. Topics include (but are not limited to):
* Personalized Recommender Systems
Track chairs: Alejandro Bellogin, Sole Pera, Ludovico Boratto
* Adaptive Hypermedia and the Semantic Web
Track chairs: Maria Bielikova, Panagiotis Germanakos, Ben Steichen
* Intelligent User Interfaces
Track chairs: Katrien Verbert, Dennis Parra
* Personalized Social Web
Track chairs: Julita Vassileva, Jie Zhang
* Technology-Enhanced Adaptive Learning
Track chairs: Ella Haig, Manolis Mavrikis
* Fairness, Transparency, Accountability and Privacy
Track chairs: Christine Bauer, Michael Ekstrand
* Personalization for Persuasive and Behavior Change Systems
Track chairs: Jaap Ham, Rita Orji

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