RecSys: Group on Recommender Systems

RecSys is a multidisciplinary group works on recommender systems at Tampere University. It focuses on various problems, such as: Recommendations for groups, Sequential recommendations, Fairness and diversity in recommendations and rankings, and Explanations and why-not questions in recommender systems. In addition, we work on complementary topics related to the problem of entity resolution, like: Progressive entity resolution, Iterative blocking and matching, Fairness and diversity in entity resolution and Explanations in entity resolution.

We participate in multi-disciplinary research, building on computer science, data science, internet research, social sciences, aiming to design more ethically sustainable information and communications technology.



Konstantinos Stefanidis

Associate Professor (tenure track)
Faculty of Information Technology and Communication Sciences