Kostas Stefanidis
Professor

My name is Kostas Stefanidis and I am a Professor on Data Science at the Faculty of Information Technology and Communication Sciences (ITC) of the Tampere University in Finland, where I also lead the Group on Recommender Systems. I have more that 10 years of experience in different roles at ICS-FORTH in Greece, NTNU in Norway and CUHK in Hong Kong. I got my PhD in personalized data management from the Univ. of Ioannina in Greece. My research interests are in the broader area of big data. My work focuses on personalization and recommender systems, entity resolution, data exploration and data analytics, with a special focus recently on socio-technical aspects in data management like fairness and transparency, and published in more than 100 papers in top-tier conferences and journals. I have been involved in several international and national research projects and I am also actively serving the scientific community. Currently, I am the General co-Chair of ADBIS 2025, TPDL 2025, ICWE 2024, and the Proceedings Chair of VLDB 2023.

E-mail: konstantinos.stefanidis -at- tuni.fi

ADBIS 2025: The 29th European Conference on Advances in Databases and Information Systems, Tampere, Finland, 2025. [General co-Chair]
TPDL 2025: The 29th International Conference on Theory and Practice of Digital Libraries, Tampere, Finland, 2025. [General co-Chair]
EDBT/ICDT 2026: International Conference on Extending Database Technology & International Conference on Database Theory, Tampere, Finland, 2026. [General co-Chair]

Group on Recommender Systems at Tampere University

• INCEPT: A Framework for Duplicate Posts Classification with Combined Text Representations, ACM Transactions on the Web, 2024. Joint work with E. Skenderi, J. Huhtamäki and S-M. Laaksonen. [Link]
• Why-Not Explainable Graph Recommender, ICDE 2024. Joint work with H-M. Attolou, K. Tzompanaki and D. Kotzinos.
• DIAERESIS: RDF Data Partitioning and Query Processing on SPARK, Semantic Web Journal, 2023. Joint work with G. Troullinou, G. Agathangelos, H. Kondylakis and D. Plexousakis.
• SQUIRREL: A framework for sequential group recommendations through reinforcement learning, Information Systems, 2023. Joint work with M. Stratigi and E. Pitoura.
• Feature-Blind Fairness in Collaborative Filtering Recommender Systems, KAIS, 2021. Joint work with R. Borges. 
• Fairness in Rankings and Recommendations: An Overview, The VLDB Journal, 2021. Joint work with E. Pitoura and G. Koutrika. 
• An Overview of End-to-End Entity Resolution for Big Data, ACM Computing Surveys, 2020. Joint work with V. Christophides, V. Efthymiou, T. Palpanas and G. Papadakis. 
• Tutorials & Invited Talks

[More]

• Recommendations
• Fairness
• Entity Resolution
• Data-Driven Software Evolution Analysis
• Efficient Question Answering over Knowledge Bases
• Grammatical Question Answering over Knowledge Bases

• Maria Stratigi - Group Recommendations with Responsibility Constraints
• Erjon Skenderi - Text Representation Methods for Big Social Data
• Xiaozhou Li - Data-driven Analysis towards Monitoring Software Evolution by Continuously Understanding Changes in Users Needs