RecSys: Group on Recommender Systems

Tiedekunta tai koulutusyksikkö: Informaatioteknologian ja viestinnän tiedekunta

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.

Ryhmän johtaja


Konstantinos Stefanidis

Tenure track -professori
Informaatioteknologian ja viestinnän tiedekunta