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Francesco Barile is an Assistant Professor in the Department of Advanced Computing Sciences at Maastricht University. He is a member of the Explainable AI (XAI) research theme and has obtained his PhD from the University of Naples Federico II, Italy in 2018. His research interests encompass Explainable AI, Recommender Systems, Group Recommender Systems, Group Decision-Support Systems, and Machine Learning. Currently, his research activities focus on group modeling and explainable group recommender systems, particularly in the context of multi-stakeholder recommenders. He is supervising Cedric Waterschoot, who is modeling group factors that impact group decision-making processes, and designing explanations for group recommendations while exploring Large Language Models (LLMs) to enhance interactions within group decision-support systems. Additionally, he oversees PhD students like Roan Schellingerhout, who is working on explainable graph neural networks-based job recommenders, and Dina Zilbershtein, who is focused on developing fair and transparent advertisement recommendations within video-on-demand platforms.
Maastricht University • Maastricht
Member of the Explainable AI (XAI) research theme, focusing on group modeling and explainable recommender systems.
The School of Business and Economics (SBE) encompasses departments like Organization, Strategy, Entrepreneurship, Finance, and Economics.