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*** THIRD CALL FOR TUTORIAL PROPOSALS ***
27th ACM International Conference on User Modeling, Adaptation
and Personalization (ACM UMAP 2019)
Golden Bay Beach Hotel 5*, Larnaca, Cyprus, June 9-12, 2019
https://www.um.org/umap2019/
Proposals due: February 11, 2019
ACM UMAP 2019, the premier international conference for
researchers and
practitioners working on systems that adapt to individual users or
to groups
of users, and which collect, represent, and model user
information, is
pleased to invite proposals for tutorials to be given in
conjunction with the
conference. Tutorials are intensive instructional sessions aimed
to provide a
comprehensive introduction to established or emerging research
topics of
interest for the UMAP community.
Topics of interest include, but are not limited to:
• new user modeling technologies, methods, techniques, and trends
(e.g. exploiting data mining and big data analytics for user
modeling,
evaluation methodologies, data visualization, etc.);
• user modeling and personalization techniques for specific
domains
(e.g., health sciences, e-government, e-commerce, cultural
heritage,
education, internet of things, mobile, music, information
retrieval, etc.);
• application of user modeling and personalization techniques for
information retrieval and recommender systems;
• eliciting and learning user preferences by taking into account
users’
emotional state, physical state, personality, trust, cognitive
factors.
An ideal tutorial should be broad enough to provide a basic
introduction to
the chosen area, but it should also cover the most important
topics in depth.
Tutorial presenters can have one page in the adjunct proceedings.
PROPOSAL FORMAT AND SUBMISSION
Tutorial proposals should be submitted in PDF format to both
tutorial chairs,
not exceeding 5 pages and containing the following information:
1. Title and abstract of the tutorial for inclusion on the ACM
UMAP 2019
website (200 words maximum).
2. Tutorial description:
• learning objectives of the tutorial and relevance to ACM UMAP
2019;
• targeted audience (introductory, intermediate, advanced) and
prerequisite knowledge or skills;
• a brief outline of the tutorial structure;
• practical sessions.
3. Tutorial length: full (6 hours) or half day (3 hours).
4. Other venues to which the tutorial or part thereof has been or
will be
presented, in addition to explaining how the current tutorial
differs from the
other editions.
5. Name, email address, affiliation and brief professional
biography of
the tutorial instructor(s), indicating previous training and
speaking
experience.
IMPORTANT DATES
• Tutorial proposals: February 11, 2019
• Notification of acceptance: February 26, 2019
• Tutorial summary camera-ready: April 3, 2019
• Adjunct proceedings camera ready: April 15, 2019
• Tutorial day: June 9, 2019
EVALUATION CRITERIA
All proposals will be reviewed by the tutorial chairs. The
features that will
be evaluated are:
1. ability of the tutorial to contribute to strengthening the
foundations
of UMAP research;
2. clarity of the tutorial, which should emerge from its
description;
3. good organization, as appearing from the outline;
4. background/experience of tutorial instructor(s) in teaching the
target topics.
TUTORIAL CHAIRS
• Milos Kravcík, German Research Center for Artificial
Intelligence (DFKI), Germany (milos.kravcik AT dfki.de)
• Iván Cantador, Universidad Autónoma de Madrid, Spain
(ivan.cantador AT uam.es)
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