*** First Call for Late-Breaking Results and Demos *** UMAP ’23: 31st ACM Conference on User Modeling, Adaptation and Personalization June 26 - 29, 2023, St. Raphael Resort, Limassol, Cyprus https://www.um.org/umap2023/  Submissions due: April 24, 2023 Submission site: https://easychair.org/conferences/?conf=umap23 IMPORTANT DATES ● 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) SUBMISSION FORMATS Demonstrations ● 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 On an extra page (not to be published), submissions should include a specification of the technical requirements for demonstrating the system at UMAP 2023.  Late-Breaking Results ● Max. 7 pages + max. 2 additional pages for references; ● (Required) unpublished page with a list of questions the authors aim to get feedback on; ● Publication in ACM UMAP 2023 Adjunct Proceedings; ● Presentation as a (potentially virtual)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 Description: Late-Breaking Results (LBR) are research-in-progress that must contain original and unpublished accounts of innovative research ideas, preliminary results, industry showcases, and system prototypes, addressing both the theory and practice of User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. SUBMISSION AND REVIEW PROCESS Papers will be reviewed single-blind and do not need to be anonymised before submission Papers must be formatted according to the new workflow for ACM publications. The templates and instructions are available here: https://www.acm.org/publications/taps/word-template-workflow. 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):  ◦ https://www.acm.org/binaries/content/assets/publications/consolidated-tex-te... ● Overleaf (use \documentclass[manuscript,review]{acmart} for single-column): ◦ https://www.overleaf.com/latex/templates/acm-conference-proceedings-master-t...   ● MS Word: ◦ https://www.acm.org/binaries/content/assets/publications/taps/acm_submission...   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  https://easychair.org/conferences/?conf=umap23 (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. PUBLICATION AND PRESENTATION 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 conference.  To be included in the Proceedings, at least one author of each accepted paper must register for the conference and present the paper there. LATE-BREAKING RESULTS AND DEMO CHAIRS ● Ludovico Boratto, University of Cagliari, Italy ● Alisa Rieger, Delft University of Technology, Netherlands ● Shaghayegh (Sherry) Sahebi, University at Albany – SUNY, USA ● Contact: umap2023-lbr@um.org