Paolo Cremonesi


Courses a.y. 2019/20: Recommender Systems and Multidisciplinary Project. Both courses are taught at a master’s degree level (laurea magistrale).

Thesis supervision: topics are mainly in the field of Recommender Systems, but also in Performance autotuning, Natural Language Processing and learning analytics. Our thesis are usually related to undergoing research projects and therefore are aimed at publishing an article; this should be taken into account when considering the scope and depth of required work.

Double Degree Programme: local coordinator of the EIT Digital Master School in Data Science (Laurea Magistrale in Computer Science and Engineering)