[Air-L] Call for Papers for the ACM UMAP conference in New York!

[Starke, Alain]

Dear all,



I am pleased to announce the preliminary call for papers for the 33rd ACM International Conference on User Modeling, Adaptation and Personalization in New York, USA, June 16 - 20 2025. ACM UMAP is the premier international conference bringing together research in AI and HCI to support effective human-AI collaboration via interactive systems that can model, adapt and personalize to their users.



For all the details of this CfP, scroll down in this email or visit: https://www.um.org/umap2025/call-for-papers/.



On behalf of the UMAP 2025 Organizing Committee,



Kind regards,

Alain Starke





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PRELIMINARY CALL FOR FULL AND SHORT PAPERS



We are pleased to invite you to contribute your original research to UMAP

2025:



LONG PAPERS should report on substantial contributions of lasting value.



The maximum length is 8 pages, excluding references in the ACM Double-Column Format.



SHORT PAPERS typically discuss exciting new work that is not yet mature enough for a long paper. The maximum length is 4 pages, excluding references in the ACM Double-Column Format.



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IMPORTANT DATES



**Full and Short Papers**



Abstract submission deadline: January 23, 2025



Paper submission deadline: January 30, 2025



Author Rebuttal Period: March 3-7, 2025



Author Notification: March 20, 2025



Camera-ready version deadline: April 3, 2025



Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone.



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TOPICS OF INTEREST



Topics of interest for UMAP 2025  include but are not limited to:



  *   Recommender systems
  *   Data mining techniques for user modeling, adaptation, and personalization
  *   Generative AI techniques for user modeling, adaptation, and personalization
  *   Large Language Models and Natural Language Processing methods for user modeling, adaptation and personalization
  *   Knowledge graphs, Linked data, and semantics for user modeling, adaptation, and personalization
  *   Intelligent user interfaces
  *   Intelligent and personalized e-learning applications and educational games
  *   Personalized behavior change and persuasive applications
  *   Modeling and adapting to human affective states
  *   Virtual assistants, conversational agents, personalization in augmented reality
  *   Group modeling and collaborative team formation
  *   Ethical issues of personalization and human-centered AI systems: Privacy, Fairness, Accountability, Transparency
  *   Creativity in User Modeling, Adaptation and Personalization
  *   Sustainability-aware methods and Sustainable Development Goals (SDGs) for user modeling, adaptation, and personalization
  *   Personalized approaches for preventing eco-chambers, user manipulation, and disinformation
  *   Research methods and reproducibility



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IMPORTANT NOTES



The peer review process is mutually anonymous (double-blind).



Each paper should not be previously published or accepted to any peer-reviewed journal or conference, nor currently under review elsewhere.