User Modeling, Adaptation and Personalization

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 2014

UMAP 2014
The 22nd Conference on User Modeling, Adaptation and Personalization
Aalborg, Denmark · July 7-14, 2014
http://www.um.org/umap2014/

Deadlines:

  • Workshop proposals: December 10, 2013
  • Research papers: February 3, 2014
  • Posters and demos: April 7, 2014
  • Late-breaking results: May 19, 2014
 

2013 UMUAI James Chen Award

The following paper has been chosen as the recipient of the 2013 James Chen Annual Award for Best Journal Article.

Peter Pirolli and Sanjay Kairam:
A knowledge-tracing model of learning from a social tagging system.
Vol. 23, Issue 2-3, pp. 139–168. http://dx.doi.org/10.1007/s11257-012-9132-1

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

 

UMAP 2013 Best Paper Awards

The following papers have been awarded at UMAP 2013, the 21th conference on User Modeling, Adaptation and Personalization (Rome, Italy, 10-14 June 2013):

Samad Kardan and Cristina Conati
Comparing and Combining Eye Gaze and Interface Actions for Determining User Learning with an Interactive Simulation (Springer Best Paper Award)

Jennifer Sabourin, Bradford Mott and James Lester
Utilizing Dynamic Bayes Nets to Improve Early Prediction Models of Self-Regulated Learning (James Chen Best Student Paper Award)

 

more announcements