Marco Polignano is a Professor Assistant at the Computer Science Department of the University of Bari, Aldo Moro, Italy, in the SWAP research group. He was a Ph.D. student from 2014 to 2017, and he received a Ph.D. in Computer Science and Mathematics in 2018 at the same university, with the thesis titled "An affect-aware computational model for supporting decision-making through recommender systems". He is a program committee member for many international conferences, including IJCAI, ECAI, IUI, AIVR, and WWW. He was a local organizer for the Ai*iA 2017 conference, organizer of the ABSITA 2018/2020 workshop about the aspect-based sentiment analysis, UMAP 2020-2023 ExUm workshop about explainable AI, IntRS'22/23 at the ACM RecSys Conference about human factors in Recommender Systems and AI, ACL 2022 and EACL 2024 serving as co-chair. In 2016 and 2018, he was a Marie Skłodowska-Curie Research and Innovation Staff Exchange (MSCA-RISE) fellow involved in the project N. 691071, titled "Seo- Dwarf: Semantic EO Data Web Alert and Retrieval Framework". His research interests are Natural Language Processing, Information Filtering, Recommender Systems, and User Modeling. During his career, he also gained skills in Artificial Intelligence, Machine Learning, and Data Mining over big data.