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UMAP'19 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization
ACM2019 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
UMAP '19: 27th Conference on User Modeling, Adaptation and Personalization Larnaca Cyprus June 9 - 12, 2019
ISBN:
978-1-4503-6711-0
Published:
06 June 2019
Sponsors:
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Abstract

Welcome to the 27th ACM International Conference on User Modeling, Adaptation and Personalization - ACM UMAP 2019. This 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 is the successor to the biennial User Modeling (UM) and Adaptive Hypermedia and Adaptive Web-based Systems (AH) conferences that were merged in 2009. It is sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling Inc. as the Steering Committee

The conference has a long tradition, so a number of submission types, presentation formats and procedures are established and have been shown to be successful. In this year's conference we built on these traditions and also explored new strands. The main components of this conference include eight main tracks, seven workshops, two tutorials, three keynotes, the doctoral consortium, the track on late-breaking results & demos, as well as the theory, opinion and reflection track. This year's motto was "Making Personalization Transparent: Giving control back to the User".

Contributors
  • University of Cyprus
  • University of Cyprus
  • Private University of Applied Sciences, Göttingen
  • Alpen-Adria-Universität Klagenfurt
  • National Distance Education University
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Acceptance Rates

UMAP'19 Adjunct Paper Acceptance Rate 30 of 122 submissions, 25%;
Overall Acceptance Rate 162 of 633 submissions, 26%
YearSubmittedAcceptedRate
UMAP '191223025%
UMAP'19 Adjunct1223025%
UMAP '18932628%
UMAP '18932628%
UMAP '17802936%
UMAP '161232117%
Overall63316226%