Paolo Cremonesi

About me

Paolo Cremonesi is professor at the Computer Science Department of Politecnico di Milano and coordinator of the EIT Digital double degree programme in Data Science. Paolo holds an MSc in Aerospace Engineering and a PhD...

Teaching

Courses a.y. 2020/21: Applied Quantum Machine Learning (PhD level), Recommender Systems and Multidisciplinary Project (master’s degree level). Thesis supervision: topics are mainly in the field of Recommender Systems and Quantum Computing, but also in Performance...

Research

RecSys Lab @Polimi is a research group at Politecnico di Milano working on the next generation of smart technologies with particular application in Recommender Systems. The group is part of the RecSys community, which is...

UMUAI Special Issue: Dynamic Recommender Systems and User Models – Extended abstract submission by 30 Oct 2020

NEWS: Amazon Personalize, a machine learning service that provides recommendation models, has added Hierarchical Recurrent Neural Network (HRNN), which our research group contributed to develop. For more details see the article and Amazon HRNN documentation.