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.
ACM UMAP 2022
30th ACM Conference on User Modeling, Adaptation and Personalization
July 4-7, 2022 - Barcelona, Spain - Onsite and online. Co-located with ACM WebSci 2022 and the ACM Hypertext 2022
ACM UMAP 2021 Best Paper Awards
At ACM UMAP 2021, the 29th International Conference on User Modeling, Adaptation and Personalization - held online from Utrecht, the Netherlands - the following awards were handed out:
Best Paper Award
Data-Driven Modeling of Learners' Individual Differences for Predicting Engagement and Success in Online Learning
Kamil Akhuseyinoglu and Peter Brusilovsky (University of Pittsburgh, USA)
James Chen Best Student Paper Award
Generating Interesting Song-to-Song Segues With Dave
Giovanni Gabbolini and Derek Bridge (Insight Centre for Data Analytics, University College Cork, Ireland)
ACM UMAP 2020 Best Paper Awards
At ACM UMAP 2020, the 28th International Conference on User Modeling, Adaptation and Personalization - held online from Genoa, Italy - the following awards were handed out:
Best Paper Award
Personalized Recommendation of PoIs to People with Autism
Noemi Mauro, Liliana Ardissono and Federica Cena, University of Turin, Italy
James Chen Best Student Paper Award
Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations
Wanling Cai and Li Chen, Hong Kong Baptist University, China
Best Late-Breaking Results Award
A Stable Personalised Partner Selection for Collaborative Privacy Education
Rita Yusri, Adel Abusitta and Esma Aïmeur