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
professori, Data science![](/_next/image?url=https%3A%2F%2Fcontent-webapi.tuni.fi%2Fimage-style%2Fbase_square_lg%2Fproxy%2Fpublic%2Fprofile_pictures%2F5601.jpg%3Fitok%3Dhn4difgo&w=1200&q=75)