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9th International Workshop on News Recommendation and Analytics (INRA 2021) will be held in conjunction with RecSys 2021.


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.


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.


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.


Peng Liu

Norwegian University of Science and Technology, Norway

Peng Liu works as a postdoctoral fellow at the Norwegian Research Center for AI Innovation (NorwAI) at NTNU. His research focuses on natural language processing and recommender system. He has conducted research in the areas of temporal data mining and user behavior analysis in news recommender systems.


Zhixin Pu

Penn State University, USA

Giselle works as a Ph.D. researcher at the Donald P. Bellisario College of Communications in the Pennsylvania State University. Giselle employs interdisciplinary thinking to explore the roles of emotion and cognition in recommender systems using computational methods. Her work includes serendipity and information overload in news recommender systems. Giselle co-organized a social event for news recsys researchers at Recsys in 2020, webinars including ISRE webinars series since 2019 and webinars for media effects researchers at Penn State since 2021, and colloquiums at Sichuan University from 2015-2017.


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.




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