Cataldo Musto is Assistant Professor at the Department of Computer Science, University of Bari. He received his Ph.D. in 2012, with a thesis discussing the use of distributional semantics models in content-based recommender systems.
His research focuses on the adoption of NLP and semantic content representation strategies in knowledge-aware recommender systems and AI algorithms. He authored around 90 scientific articles, and he is one of the authors of the textbook “Semantics in Adaptive and Personalized Systems: Methods, Tools and Applications'', edited by Springer. He is also involved in the organization of conferences such as ACM UMAP and ACM RecSys as Student Volunteers Chair in 2019, Social Chair in 2020, and Poster and Demo Chair in 2022.
In 2016 and 2017 he gave a tutorial at UMAP and ESWC conferences about the exploitation of semantics-aware representation in content-based personalized systems. Since 2019, he organizes the workshop on Explainable User Modeling (ExUM), jointly held with ACM UMAP and the Italian Workshop on Explainaible AI (XAI.it) since 2020. In 2023, he will chair the track on Semantics and Knowledge Graphs at ACM UMAP and act as Doctoral Consortium chair at ACM RecSys.