| Movie genome: alleviating new item cold start in movie recommendation Y Deldjoo, MF Dacrema, MG Constantin, H Eghbal-Zadeh, S Cereda, ... User Modeling and User-Adapted Interaction 29, 291-343, 2019 | 113 | 2019 |
| Exploring the semantic gap for movie recommendations M Elahi, Y Deldjoo, F Bakhshandegan Moghaddam, L Cella, S Cereda, ... Proceedings of the eleventh acm conference on recommender systems, 326-330, 2017 | 59 | 2017 |
| Cgptuner: a contextual gaussian process bandit approach for the automatic tuning of it configurations under varying workload conditions S Cereda, S Valladares, P Cremonesi, S Doni Proceedings of the VLDB Endowment 14 (8), 1401-1413, 2021 | 56 | 2021 |
| Method and apparatus for tuning adjustable parameters in computing environment D Stefano, GP Gibilisco, S Cereda US Patent 11,755,451, 2023 | 15 | 2023 |
| A collaborative filtering approach for the automatic tuning of compiler optimisations S Cereda, G Palermo, P Cremonesi, S Doni The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools …, 2020 | 15 | 2020 |
| Deriving item features relevance from past user interactions L Cella, S Cereda, M Quadrana, P Cremonesi Proceedings of the 25th conference on user modeling, adaptation and …, 2017 | 14 | 2017 |
| A comparison of different neural networks for agricultural image segmentation S Cereda, M Matteucci Politecnico di Milano, 2017 | 6 | 2017 |
| Movie genome: alleviating new item cold start in movie recommendation M Schedl, Y Deldjoo, MF Dacrema, MG Constantin, H Eghbal-zadeh, ... User Modeling and User-Adapted Interaction, 2019 | 3 | 2019 |
| Constraint-aware performance autotuning in live production environment S Cereda | 1 | 2022 |
| Method and system for tuning a computing environment using a knowledge base S Cereda, P Cremonesi, D Stefano, GP Gibilisco US Patent App. 17/707,498, 2022 | | 2022 |
| METODO E APPARECCHIATURA PER LA MESSA A PUNTO DI PARAMETRI REGOLABILI IN AMBIENTE INFORMATICO S Cereda, S Doni, G Gibilisco | | 2019 |
| Local investigation of performance heterogeneity in a vanadium redox flow bBatteries, coupling experimental and CFD analyses S CEREDA Politecnico di Milano, 2017 | | 2017 |
| Estimate features relevance for groups of users S Cereda, L Cella, P Cremonesi Italian Information Retrieval Workshop 1911, 80-83, 2017 | | 2017 |
| Go microservices runtime optimization in Kubernetes environment: the importance of garbage collection tuning S PANOZZO | | |
Paolo CremonesiDept. Computer Engineering, Politecnico di MilanoEmail verificata su polimi.it
