A model and survey of distributed data-intensive systems

Alessandro Margara , Gianpaolo Cugola , Nicoló Felicioni , Stefano Cilloni
ACM Computing Surveys 56 ( 1) 1 -69

5
2023
Multi-Objective Blended Ensemble For Highly Imbalanced Sequence Aware Tweet Engagement Prediction

Nicolò Felicioni , Andrea Donati , Luca Conterio , Luca Bartoccioni
conference on recommender systems 29 -33

2
2020
On the Importance of Uncertainty in Decision-Making with Large Language Models

Nicolò Felicioni , Lucas Maystre , Sina Ghiassian , Kamil Ciosek
arXiv preprint arXiv:2404.02649

2024
Optimizing the selection of recommendation carousels with quantum computing

Maurizio Ferrari Dacrema , Nicolò Felicioni , Paolo Cremonesi
691 -696

19
2021
Off-policy evaluation with deficient support using side information

Nicolò Felicioni , Maurizio Ferrari Dacrema , Marcello Restelli , Paolo Cremonesi
Advances in Neural Information Processing Systems 35 30250 -30264

9
2022
Offline evaluation of recommender systems in a user interface with multiple carousels

Maurizio Ferrari Dacrema , Nicolò Felicioni , Paolo Cremonesi
Frontiers in big Data 5 910030 -910030

7
2022
Measuring the ranking quality of recommendations in a two-dimensional carousel setting

Nicolò Felicioni , Maurizio Ferrari Dacrema , Fernando B Perez Maurera , Paolo Cremonesi
CEUR-WS 2947 1 -14

3
2021
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels

Nicolò Felicioni , Maurizio Ferrari Dacrema , Paolo Cremonesi
Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '21 Adjunct), June 21--25, 2021, Utrecht, Netherlands

20
2021
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels

Nicolò Felicioni , Maurizio Ferrari Dacrema , Paolo Cremonesi
ACM International Conference on Interactive Media Experiences (IMX '21), June 21--23, 2021, Virtual Event, NY, USA

8
2021
AutoOPE: Automated Off-Policy Estimator Selection

Nicolò Felicioni , Michael Benigni , Maurizio Ferrari Dacrema
arXiv preprint arXiv:2406.18022

2024