June 9–12, 2027
Chicago, USA
Deadline: January 22, 2027
The 35th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2027) invites submissions of original research on user modeling, adaptation, personalization, and human-centered adaptive AI systems.
UMAP 2027 welcomes theoretical, methodological, empirical, and applied contributions, including (but not limited to):
- User modeling, adaptation, and personalization for intelligent interfaces and human–computer interaction.
- Recommender systems, personalized search, information access, and conversational recommendation.
- Machine learning, generative AI, LLMs, NLP, knowledge graphs, and multimodal approaches to personalization.
- Adaptive and personalized agentic, conversational, and embodied AI.
- Personalized healthcare, well-being, education, and collaborative systems.
- Ethical, inclusive, explainable, and trustworthy personalization.
- Evaluation, benchmarks, datasets, reproducibility, and human-centered evaluation of adaptive systems.
Submission Types
Full papers: Up to 8 pages of content, plus up to 2 pages of references. Accepted papers will appear in the main conference proceedings and be presented in plenary sessions.
Short papers: Up to 4 pages of content, plus up to 2 pages of references. Submissions should present complete and focused research contributions and may be presented orally or as posters.
Important Dates (Anywhere on Earth, AoE)
- Abstract submission: January 22, 2027
- Paper submission: January 29, 2027
- Rebuttal: March 2–8, 2027
- Acceptance notification: March 15, 2027
- Camera-ready submission: March 30, 2027
Submission Information
Abstract registration is mandatory by January 22, 2027 and must include the paper title, abstract, and complete author list. The author list and author order cannot be changed after the abstract deadline.
All submissions must be in English, follow the ACM double-column format, and be submitted electronically through EasyChair. UMAP 2027 follows a double-blind review process.
Full Call for Papers and Submission Guidelines:
https://um.org/umap2027/call-for-full-and-short-paper/
We encourage researchers working on user modeling, personalization, recommender systems, adaptive interfaces, and human-centered AI to submit their work and share this call with interested colleagues.
We look forward to your contributions to ACM UMAP 2027!
