Since 2022, we propose a way to bring together a research community focusing on Group Modeling, Adaptation, and Personalization.
Our workshops are part of the UMAP ACM SIGCHI conference.
While we are working on the upcoming workshop, you can check out the previous proceedings:
We publish research articles that showcase our latest research, future directions and ideas on GRS. We use Medium to make these accessible for all.
One of our aims is to gather, maintain, and make accessible GRS projects through GitHub.
In 2022, we started collaborating on solving the need for a space where researchers would share their expertise and knowledge of GRS at large. This resulted in the first
GMAP workshop focused on the research question:
How to combine preferences of individuals in a group so as to personalize, adapt, and explain content for this group to consume or experience?
The event took place in Barcelona, Spain as part of the UMAP ACM SIGCHI 2022 Conference.
By attracting more researchers from several disciplines,
including Psychology, Computer Science, and Organizational Behavior,
we organized the second edition of the GMAP 2023 workshop.
The event
took place in Limassol, Cyprus as part of the UMAP ACM SIGCHI 2023 Conference.
While coordinating our efforts to organize a third edition of GMAP, we are currently developing a strong online presence through open source repositories and scientific articles.
Assistant Professor at the Department of Computer Science and Informatics, University of Sarajevo. Her research focuses on the personalized systems that support group decision-making processes by exploiting various user, group, interrelationship features, as well as the information about the decision-making process itself.
Assistant Professor at Charles University, Faculty of Mathematics and Physics, Department of Software Engineering. His recent research activities focus on the problem of proportionality in recommender systems as well as biases and de-biasing in the context of Group Recommender Systems.
Ph.D. candidate at the Human-Centred Computing group, Utrecht University. Her research focuses on the creation of algorithms to support groups of individuals, from problem detection to adaptation of feedback. The more recent research activities include the development of a tool for detecting interpersonal problems among groups and adaptation of emotional support messages to the faced issue.
Ph.D. candidate at the Human-Centred Computing group at Utrecht University. Federica researches user-centered tools that improve group formation and crowd collaboration online. Her research topics include self-organization, algorithms for group formation, choice architecture, and user modeling.
If you wish to contact us to join our community or suggest collaborations, relevant research, and more, please use the form below or email us at thegrscom@gmail.com.