Estimate Features Relevance for Groups of Users. - Stefano Cereda; Leonardo Cella; Paolo Cremonesi (IIR, 2017)

Exploring the Semantic Gap for Movie Recommendations. - Mehdi Elahi; Yashar Deldjoo; Farshad Bakhshandegan Moghaddam; Leonardo Cella; Stefano Cereda; Paolo Cremonesi (RecSys, 2017)

Deriving Item Features Relevance from Past User Interactions. - Leonardo Cella; Stefano Cereda; Massimo Quadrana; Paolo Cremonesi (UMAP, 2017)

Movie genome: alleviating new item cold start in movie recommendation. - Yashar Deldjoo; Maurizio Ferrari Dacrema; Mihai Gabriel Constantin; Hamid Eghbal-zadeh; Stefano Cereda; Markus Schedl; Bogdan Ionescu; Paolo Cremonesi (User Model. User Adapt. Interact., 2019)

A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations. - Stefano Cereda; Gianluca Palermo; Paolo Cremonesi; Stefano Doni (LCTES, 2020)

CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions. - Stefano Cereda; Stefano Valladares; Paolo Cremonesi; Stefano Doni (Proc. VLDB Endow., 2021)

Constraint-aware performance autotuning in live production environment - Stefano Cereda (2022)