Nicolò Felicioni

According to our database, Nicolò Felicioni authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Model and Survey of Distributed Data-Intensive Systems.

Alessandro Margara, Gianpaolo Cugola, Nicolò Felicioni, Stefano Cilloni

ACM Comput. Surv., January, 2024

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

Nicolò Felicioni, Lucas Maystre, Sina Ghiassian, Kamil Ciosek

Trans. Mach. Learn. Res., 2024

AutoOPE: Automated Off-Policy Estimator Selection.

Nicolò Felicioni, Michael Benigni, Maurizio Ferrari Dacrema

CoRR, 2024

2022

Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels.

Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi

Frontiers Big Data, 2022

Enhancing Counterfactual Evaluation and Learning for Recommendation Systems.

Nicolò Felicioni

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Off-Policy Evaluation with Deficient Support Using Side Information.

Nicolò Felicioni, Maurizio Ferrari Dacrema, Marcello Restelli, Paolo Cremonesi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Evaluating Recommendations in a User Interface With Multiple Carousels.

Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi

Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

2021

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

Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi

Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels.

Nicolò Felicioni, Maurizio Ferrari Dacrema, Paolo Cremonesi

Proceedings of the IMX '21: ACM International Conference on Interactive Media Experiences, 2021

Optimizing the Selection of Recommendation Carousels with Quantum Computing.

Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting.

Nicolò Felicioni, Maurizio Ferrari Dacrema, Fernando Benjamín Pérez Maurera, Paolo Cremonesi

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

2020

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

Nicolò Felicioni, Andrea Donati, Luca Conterio, Luca Bartoccioni, Davide Yi Xian Hu, Cesare Bernardis, Maurizio Ferrari Dacrema

Proceedings of the RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, 2020