Organization Committee '20

Özlem Özgöbek

Norwegian University of Science and Technology, Norway

Özlem works as an associate professor at the Department of Computer Science at NTNU. Her research focuses on recommender systems, privacy issues in recommender systems and disinformation detection for online news. She is a co-founder of Norwegian Big Data Symposium (NOBIDS) and actively involved in organizing INRA workshop series since 2014.

Benjamin Kille

Berlin Institute of Technology, Germany

Benjamin works as a researcher at the Institute of Commercial Information Technology and Quantitative Methods of the TU Berlin. In recent years, he organized multiple data-driven competitions including NewsREEL at CLEF and MM4RecSys at the MediaEval benchmark. His PhD thesis focuses on context-aware news recommender systems.

Jon Atle Gulla

Norwegian University of Science and Technology, Norway

Jon Atle is professor of Information Systems at the Department of Computer Science in Trondheim. He received his MSc in 1988 and his PhD in 1993, both in Information Systems at NTNU. Gulla also has a MSc in Linguistics from the University of Trondheim and a Msc of Management (Sloan fellow) from London Business School. His research centers around semantic web, information retrieval, recommender systems, text analytics, and big data. He has established several research projects about news recommender systems and analytics in close collaboration with Scandinavian media industry. He is the co-founder of Norwegian Big Data Symposium (NOBIDS) and INRA Workshop series.

Andreas Lommatzsch

Berlin Institute of Technology, Germany

Andreas Lommatzsch works as a senior researcher and director of the Application Center “Data Analytics” at the Distributed Artificial Intelligence Lab (DAI-Labor) at the TU Berlin. His research focuses on distributed knowledge management and machine learning algorithms. His primary interests lie in the areas of recommendations based on data-streams and context-aware meta-recommender algorithms. He co-organizes the NewsREEL challenge as well as the MM4RecSys benchmark focusing on recommender algorithms for online news portals.