Paolo Cremonesi

Dr. Paolo Cremonesi is an Associate Professor in the Computer Science Department at Politecnico di Milano, where he also serves as the local coordinator for the EIT Digital double degree program in Data Science. His research focuses on key areas such as recommender systems, machine learning, predictive models, and high-performance computing. Dr. Cremonesi has made significant contributions to the field, including participation in projects like the development of the Hierarchical Recurrent Neural Network (HRNN) for Amazon Personalize, a machine learning service that provides recommendation models. He is actively involved in academic collaborations and has contributed to various research initiatives, including winning first place in the academic part of the RecSys Challenge 2021. His work is widely recognized in the academic community, and he continues to advance research in dynamic recommender systems and user models.