Fedelucio Narducci is a Full Professor at the Polytechnic University of Bari, Italy. Over the years, he has published numerous articles in international journals and conferences in the field of artificial intelligence and recommendation systems.
He began his PhD at the University of Bari Aldo Moro in January 2009. In April 2011, he collaborated with the Human Interaction and Experiences research group at the Philips Research Center in Eindhoven (Netherlands), working on personalized electronic TV guides. He obtained his PhD in Computer Science with a thesis entitled "Knowledge-enriched Representations for Content-based Recommender Systems." From April 2012 to July 2014, he worked as a post-doctoral researcher at the University of Milan Bicocca, focusing on techniques for intelligent access to multilingual e-government services. From August 2014 to March 2018, he worked as a post-doctoral researcher at the University of Bari Aldo Moro, where he conducted research on conversational recommendation systems, chatbots for healthcare, multimedia and emotional recommendation systems, with a particular focus on explanation and sentiment analysis. From December 2019 to December 2022, he held the position of Tenure-Track Researcher (Type B) at the Polytechnic University of Bari.
His current research interests include: recommendation systems, conversational agents, natural language processing, e-health, personalized access to information, user modeling and personalization, explainability and fairness in artificial intelligence systems.
He is co-author of the book Semantics in Adaptive and Personalized Systems – Springer.
He has published over 100 articles in national and international conferences and scientific journals, including: European Conference on Information Retrieval (ECIR), ACM Conference on Recommender Systems (RecSys), ACM Conference on User Modeling, Adaptation and Personalization (UMAP), International Semantic Web Conference (ISWC), User Modeling and User-Adapted Interaction (UMUAI), ACM Transactions on Information Systems (TOIS), Expert Systems with Applications (ESWA), Data Knowledge Engineering (DKE), Decision Support Systems (DSS), and Information Sciences.