Paolo Cremonesi is an associated professor at the Politecnico di Milanowhere he teaches courses on Computer System Architectures, Performance and Reliability. Since joining the Politecnico di Milano he has been involved in the performance assessment and optimization of computer system architectures and applications, ranging from real-time embedded systems up to enterprise-wide datacenters. He’s author of various publications concerning distributed and parallel computation, performance evaluation and capacity planning.
Eugenio Lentini was born in Milano, Italy, where he studied Computer Science. He received B.Sc. and M.Sc. from Politecnico di Milano. In his Diploma thesis entitled “An Evaluation Methodology for Collaborative Recommender Systems”, Eugenio investigated a new and innovative methodology to evaluate the quality of recommendations and compared different recommender algorithms. He also implemented a new efficient recommender algorithm based on Naive Bayesian Networks. Finally, he proposed a multi-model recommender system in order to improve the quality of recommendations for commercial systems.
