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<font face='Lucida Grande' size='4'><b>*** FIRST CALL FOR TUTORIAL PROPOSALS *** <br></b><br>27th ACM International Conference on User Modeling, Adaptation<br>and Personalization (ACM UMAP 2019)<br><br>Golden Bay Beach Hotel 5*, Larnaca, Cyprus, June 9-12, 2019<br><br><a href="http://www.cs.ucy.ac.cy/~george/lm/lm.php?tk=c2NlLmNhcmxldG9uLmNhICwJCQlmZy1hcmNAbGlzdHMudW5pLXBhZGVyYm9ybi5kZQlUaGUgMjd0aCBBQ00gQ29uZmVyZW5jZSBvbiBVc2VyIE1vZGVsaW5nLCBBZGFwdGF0aW9uIGFuZCBQZXJzb25hbGl6YXRpb24gKFVNQVAgMjAxOSk6IEZpcnN0IENhbGwgZm9yIFR1dG9yaWFsIFByb3Bvc2FscwkyOTUJTGlzdHMJMTQyCWNsaWNrCXllcwlubw==&url=https%3A%2F%2Fwww.um.org%2Fumap2019%2F">https://www.um.org/umap2019/</a><br></font><font face='Lucida Grande'><br><br><u>Proposals due</u>: February 11, 2019<br><br><br>ACM UMAP 2019, the premier international conference for researchers and<br>practitioners working on systems that adapt to individual users or to groups<br>of users, and which collect, represent, and model user information, is<br>pleased to invite proposals for tutorials to be given in conjunction with the<br>conference. Tutorials are intensive instructional sessions aimed to provide a<br>comprehensive introduction to established or emerging research topics of<br>interest for the UMAP community.<br><br>Topics of interest include, but are not limited to:<br> new user modeling technologies, methods, techniques, and trends<br>(e.g. exploiting data mining and big data analytics for user modeling,<br>evaluation methodologies, data visualization, etc.);<br> user modeling and personalization techniques for specific domains<br>(e.g., health sciences, e-government, e-commerce, cultural heritage,<br>education, internet of things, mobile, music, information retrieval, etc.);<br> application of user modeling and personalization techniques for<br>information retrieval and recommender systems;<br> eliciting and learning user preferences by taking into account users<br>emotional state, physical state, personality, trust, cognitive factors.<br> <br>An ideal tutorial should be broad enough to provide a basic introduction to<br>the chosen area, but it should also cover the most important topics in depth.<br>Tutorial presenters can have one page in the adjunct proceedings. <br><br><br><b><u>PROPOSAL FORMAT AND SUBMISSION<br></u></b><br>Tutorial proposals should be submitted in PDF format to both tutorial chairs,<br>not exceeding 5 pages and containing the following information:<br>1. Title and abstract of the tutorial for inclusion on the ACM UMAP 2019<br>website (200 words maximum).<br>2. Tutorial description:<br> learning objectives of the tutorial and relevance to ACM UMAP 2019;<br> targeted audience (introductory, intermediate, advanced) and<br>prerequisite knowledge or skills;<br> a brief outline of the tutorial structure;<br> practical sessions.<br>3. Tutorial length: full (6 hours) or half day (3 hours).<br>4. Other venues to which the tutorial or part thereof has been or will be<br>presented, in addition to explaining how the current tutorial differs from the<br>other editions.<br>5. Name, email address, affiliation and brief professional biography of<br>the tutorial instructor(s), indicating previous training and speaking<br>experience.<br><br><br><b><u>IMPORTANT DATES<br><br></u></b> Tutorial proposals: February 11, 2019<br> Notification of acceptance: February 26, 2019<br> Tutorial summary camera-ready: April 3, 2019<br> Adjunct proceedings camera ready: April 15, 2019<br> Tutorial day: June 9, 2019<br><br><br><b><u>EVALUATION CRITERIA<br></u></b><br>All proposals will be reviewed by the tutorial chairs. The features that will<br>be evaluated are:<br>1. ability of the tutorial to contribute to strengthening the foundations<br>of UMAP research;<br>2. clarity of the tutorial, which should emerge from its description;<br>3. good organization, as appearing from the outline;<br>4. background/experience of tutorial instructor(s) in teaching the<br>target topics.<br><br><br><b><u>TUTORIAL CHAIRS</u></b><br><b><u><br></u></b> Milos Kravcík, German Research Center for Artificial Intelligence (DFKI), Germany (milos.kravcik AT dfki.de)<br><br> Iván Cantador, Universidad Autónoma de Madrid, Spain (ivan.cantador AT uam.es)<br></font>
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