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If you are interested in any aspect of systems that acquire information about a user (or group of users) so as to be able to adapt their behavior to that user or group, you have come to the right place! UM Inc. is a society of researchers and practitioners who are interested in developing adaptive systems and personalizing users’ experience with systems. Numerous applications of such systems exist for example in the area of natural language understanding and dialogue systems, in computer-based educational systems and online learning environments, in systems for computer supported collaboration, recommender systems for e-Commerce, news and entertainment.

UMAP 2017

umap2017UMAP 2017
25th conference on User Modeling, Adaptation and Personalization
Bratislava, Slovakia. More details will follow soon.
9-12 July 2017
Tentative submission deadline: 17 February 2017

2015 UMUAI James Chen Award

The following paper has been chosen as the recipient of the 2015 James Chen Annual Award for Best Journal Article.

Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh, Michael Jugovac
What recommenders recommend: an analysis of recommendation biases and possible countermeasures
UMUAI Vol. 25, issue 5, pp. 427–491

It was selected based on nominations from journal reviewers and editorial board members, and a subsequent comparative review by an award committee.

UMAP 2016 Best Paper Awards

Best Paper Award

Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities

Michael Eagle, Albert Corbett, John Stamper, Bruce Mclaren and Ryan Baker

James Chen Best Student Paper Awards

On the Value of Reminders within E-Commerce Recommendations

Lukas Lerche, Dietmar Jannach and Malte Ludewig

Analyzing and Predicting Task Reminders

David Graus, Paul Bennett, Ryen White and Eric Horvitz

(more announcements)