ACM UMAP – User Modeling, Adaptation and Personalization is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information.
ACM UMAP 2020 invites Demonstrations and Late-Breaking Results (LBR) papers of innovative UMAP-based systems (including research prototypes).
You are encouraged to submit your Demo or LBR by April 6th, 2020.
- Submission of demos and LBR papers: April 6, 2020
- Notification of acceptance: April 27, 2020
- Camera-ready versions of accepted papers: May 7, 2020
The submissions times are 11:59 PM Anywhere on Earth
Demonstrations will showcase research prototypes and commercially available products in a dedicated session. Demo submissions must be based on an implemented and tested system that pursues one or more innovative ideas in the interest areas of the conference.
Demonstrations are an excellent and exciting way to showcase implementations and to get valuable feedback from the community. Each demo submission must make clear which aspects of the system will be demonstrated, and how.
To better identify the value of demos, we also encourage authors to submit a pointer to a screencast (max. 5 minutes on Vimeo or YouTube) or to any external material related to the demo (e.g., shared code on GitHub).
Descriptions of demonstrations should have a length of max. 2 pages in the ACM SIG proceedings template. On an extra page (not to be published), submissions should include a specification of the technical requirements for demonstrating the system at UMAP 2020.
Late-Breaking Results (LBR) are research-in-progress that must contain original and unpublished accounts of innovative research ideas, preliminary results, industry showcases, and system prototypes, addressing both the theory and practice of User Modeling, Adaptation and Personalization. In addition, papers introducing recently started research projects or summarizing project results are welcome as well.
We encourage researchers and practitioners to submit a late-breaking work as it provides a unique opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among colleagues.
Late-Breaking Results papers have a length of 4 to 6 pages in the ACM SIG proceedings template and will be presented to the conference as posters.
Submission And Review Process
Submissions (demos and late-breaking results) must adhere to the ACM SIG Standard (SIGCONF) proceedings template.
A template can be found at:
Submit your papers in PDF format via EasyChair for ACM UMAP 2020 Demos and Late-Breaking Results at:
The review process will be single blinded, i.e. authors’ names should be included in the papers.
Submissions will be reviewed by at least two independent reviewers. They will be assessed based on their originality and novelty, potential contribution to the research field, potential impact in particular use cases, and the usefulness of presented experiences, as well as their overall readability.
Papers that exceed the page limits (2 pages for demos and 6 pages for LBR) or do not adhere to the formatting guidelines will be returned without review.
Publication and Presentation
Accepted Demo and Late Breaking Results papers will be published in the ACM UMAP 2020 Adjunct Proceedings in the ACM Digital Library. All categories will be presented at the poster reception of the conference, in the form of a poster and/or a software demonstration following poster format. This form of presentation will provide presenters with an opportunity to obtain direct feedback about their work from a wide audience during the conference.
At least one author of each accepted paper must register for the conference and present the paper there.
Late-Breaking Results And Demo Chairs
- Li Chen, Department of Computer Science Hong Kong Baptist University, Hong Kong
- Bart Knijnenburg, Clemson University, South Carolina USA
- Frosina Koceva, University of Genova, Genova, Italy
Mailto: umap2020-lbr AT um.org