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UMAP 2023 LBRD 2023 : UMAP ’23: 31st ACM Conference on User Modeling, Adaptation and Personalization: Call for Late-Breaking Results and Demos


When Jun 26, 2023 - Jun 29, 2023
Where St. Raphael Resort, Limassol, Cyprus
Submission Deadline Apr 24, 2023
Notification Due May 10, 2023
Final Version Due May 18, 2023
Categories    user modeling   user adaptation   user personalisation

Call For Papers

*** Call for Late-Breaking Results and Demos ***

UMAP ’23: 31st ACM Conference on User Modeling, Adaptation and

June 26 - 29, 2023, St. Raphael Resort, Limassol, Cyprus 

Submissions due: April 24, 2023
Submission site:


● Submission of papers: April 24, 2023
● Notification of acceptance: May 10, 2023
● Camera-ready versions of accepted papers: May 18, 2023
● Conference: June 26-29, 2023 

Note: The submission times are 11:59 pm AoE time (Anywhere on Earth)


● Max. 5 pages + max. 1 additional page for references;
● (Optional) video or external material demonstrating the system;
● Publication in ACM UMAP 2023 Adjunct Proceedings;
● Presentation as a demo + poster at the conference.

Description: 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 get valuable feedback from the community. Each demo submission must
make clear which aspects of the system will be demonstrated, and how these will
be demonstrated on-site as well as online.

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 any
external material related to the demo (e.g., shared code on GitHub).

Descriptions of demonstrations should have a length of max. 5 pages + 1 page
of references in the new ACM single-column style. On an extra page (not to
be published), submissions should include a specification of the
technical requirements for demonstrating the system at UMAP 2023. 

Late-Breaking Results
● Max. 7 pages + max. 2 additional pages for references;
● (Required) unpublished page with a list of questions the authors aim to get
feedback on;
● Publication in ACM UMAP 2023 Adjunct Proceedings;
● Presentation as a (potentially virtual) poster at the conference.

Description: 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 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 up to 7 pages + 2 pages of
references in the new ACM single-column style and will be presented to
the conference as posters. On an extra page (not to be published),
submissions should include a list of questions that the authors aim to get feedback
on during the poster session at UMAP 2023.


Papers will be reviewed single-blind and do not need to be anonymised before

Papers must be formatted according to the new workflow for ACM publications. The
templates and instructions are available here:

Authors should submit their papers as single-column. The templates are
available here (we strongly recommend the usage of LaTeX for the
camera-ready papers to minimize the extent of reformatting):

● LaTeX (use \documentclass[manuscript,review]{acmart} in the sample-
authordraft.tex file for single-column): 
● Overleaf (use \documentclass[manuscript,review]{acmart} for single-column):
● MS Word:

Note: Accepted papers will require further revision to meet the requirements and
page limits of the camera-ready format required by ACM. Instructions for
the preparation of the camera-ready versions of the papers will be provided
after acceptance.

The ACM Code of Ethics gives the UMAP program committee the right to (desk-)
reject papers that perpetuate harmful stereotypes, employ unethical
research practices, or uncritically present outcomes/implications that
clearly disadvantage minority communities. 

Submit your papers in PDF format via EasyChair for ACM UMAP 2023 Demos and
Late-Breaking Results at
(choose “New Submission” and make sure to select “UMAP'23 - LBR and
Demos” track).

The review process will be single-blind, 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 or do not adhere to the formatting guidelines
will be returned without review.


Accepted Demo and Late-Breaking Results papers will be published in the ACM UMAP
2023 Adjunct Proceedings in the ACM Digital Library. Papers will be accessible from
the UMAP 2023 website through ACM OpenToc Service for one year after publication
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

To be included in the Proceedings, at least one author of each accepted paper
must register for the conference and present the paper there.


● Ludovico Boratto, University of Cagliari, Italy
● Alisa Rieger, Delft University of Technology, Netherlands
● Shaghayegh (Sherry) Sahebi, University at Albany – SUNY, USA
● Contact:

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