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Fedelucio Narducci

Associate Professor

Short bio

Fedelucio Narducci is an Associate Professor at the Polytechnic University of Bari, Italy. Over the years, he has authored several papers in international journals and conferences in the artificial intelligence and recommender-system research areas.

He started his Ph.D. program at the University of Bari Aldo Moro in January 2009. In April 2011, he joined the Human Interaction and Experiences research group of Philips Research Center in Eindhoven (The Netherlands) and worked on personalized electronic tv guides. He got his Ph.D. in Computer Science defending his thesis titled ″Knowledge-enriched Representations for Content-based Recommender Systems″. From April 2012 to July 2014, he worked as a post-doc researcher at the University of Milano Bicocca. His research was focused on techniques for intelligent access to multilingual e-gov services. From August 2014 to March 2018 he worked as a post-doc researcher at the University of Bari Aldo Moro, working on conversational recommender systems, health assistant chatbots, multimedia and emotion-aware recommender systems, with a particular focus on explanation and sentiment analysis. From December 2019 to December 2022 he worked as an Assistant Professor (tenure-track position) at the Polytechnic University of Bari.

His current research interests include recommender systems, conversational agents, natural language processing, e-health, personalized information access, user modeling and personalization, explanation and fairness for AI systems.

He has co-authored the book Semantics in Adaptive and Personalised Systems – Springer.
He published more than 100 papers in national and international Conferences and 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) Journal, ACM Transactions on Information Systems (TOIS), Expert Systems with Applications (ESWA), Data Knowledge Engineering (DKE), Decision Support Systems (DSS), and Information Sciences.
He was Associate Editor for Decision Support Systems – Elsevier (Q1, SJR 1.937) and is currently Associate Editor for the International Journal of Human-Computer Studies – Elsevier (Q1, SJR 1.094).


  1. Artificial Intelligence
  2. Recommender Systems
  3. Conversational Agents
  4. User Modeling and Personalization
  5. e-Health
  6. Natural Language Processing