Francesco Fabbri

According to our database, Francesco Fabbri authored at least 31 papers between 2017 and 2024.

Collaborative distances:

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

2024

Bias-aware ranking from pairwise comparisons.

Antonio Ferrara, Francesco Bonchi, Francesco Fabbri, Fariba Karimi, Claudia Wagner

Data Min. Knowl. Discov., July, 2024

IOHunter: Graph Foundation Model to Uncover Online Information Operations.

Marco Minici, Luca Luceri, Francesco Fabbri, Emilio Ferrara

CoRR, 2024

Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences.

Erica Coppolillo, Simone Mungari, Ettore Ritacco, Francesco Fabbri, Marco Minici, Francesco Bonchi, Giuseppe Manco

CoRR, 2024

Diffusion Model for Slate Recommendation.

Federico Tomasi, Francesco Fabbri, Mounia Lalmas, Zhenwen Dai

CoRR, 2024

Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks.

Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas, Andreas Damianou

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Towards Graph Foundation Models for Personalization.

Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Dynamic Games with Noisy Informational Asymmetries.

Francesco Fabbri, Sofia Moroni

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Fair Augmentation for Graph Collaborative Filtering.

Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks.

Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation.

Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda

Proceedings of the Advances in Information Retrieval, 2024

2023

Fair Max-Min Diversity Maximization in Streaming and Sliding-Window Models.

Yanhao Wang, Francesco Fabbri, Michael Mathioudakis, Jia Li

Entropy, July, 2023

FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems.

Francesco Fabbri, Xianghang Liu, Jack R. McKenzie, Bartlomiej Twardowski, Tri Kurniawan Wijaya

CoRR, 2023

GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning.

Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto, Gianni Fenu

CoRR, 2023

Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms.

Yanhao Wang, Michael Mathioudakis, Jia Li, Francesco Fabbri

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract).

Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

The Interconnected Nature of Online Harm and Moderation: Investigating the Cross-Platform Spread of Harmful Content between YouTube and Twitter.

Valerio La Gatta, Luca Luceri, Francesco Fabbri, Emilio Ferrara

Proceedings of the 34th ACM Conference on Hypertext and Social Media, 2023

Graph Learning for Exploratory Query Suggestions in an Instant Search System.

Enrico Palumbo, Andreas Damianou, Alice Wang, Alva Liu, Ghazal Fazelnia, Francesco Fabbri, Rui Ferreira, Fabrizio Silvestri, Hugues Bouchard, Claudia Hauff, Mounia Lalmas, Ben Carterette, Praveen Chandar, David Nyhan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems.

Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Algorithmic bias in graph-based recommender systems

Francesco Fabbri

PhD thesis, 2022

Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways.

Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Exposure Inequality in People Recommender Systems: The Long-Term Effects.

Francesco Fabbri, Maria Luisa Croci, Francesco Bonchi, Carlos Castillo

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Streaming Algorithms for Diversity Maximization with Fairness Constraints.

Yanhao Wang, Francesco Fabbri, Michael Mathioudakis

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Fair and Representative Subset Selection from Data Streams.

Yanhao Wang, Francesco Fabbri, Michael Mathioudakis

Proceedings of the WWW '21: The Web Conference 2021, 2021

From the Beatles to Billie Eilish: Connecting Provider Representativeness and Exposure in Session-Based Recommender Systems.

Alejandro Ariza, Francesco Fabbri, Ludovico Boratto, Maria Salamó

Proceedings of the Advances in Information Retrieval, 2021

Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market.

David Solans, Francesco Fabbri, Caterina Calsamiglia, Carlos Castillo, Francesco Bonchi

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Streaming Submodular Maximization with Fairness Constraints.

Yanhao Wang, Francesco Fabbri, Michael Mathioudakis

CoRR, 2020

The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy.

Paolo Cintia, Daniele Fadda, Fosca Giannotti, Luca Pappalardo, Giulio Rossetti, Dino Pedreschi, Salvo Rinzivillo, Pietro Bonato, Francesco Fabbri, Francesco Penone, Marcello Savarese, Daniele Checchi, Francesca Chiaromonte, Paolo Vineis, Giorgio Guzzetta, Flavia Riccardo, Valentina Marziano, Piero Poletti, Filippo Trentini, Antonino Bella, Xanthi Andrianou, Martina Del Manso, Massimo Fabiani, Stefania Bellino, Stefano Boros, Alberto Mateo Urdiales, Maria Fenicia Vescio, Silvio Brusaferro, Giovanni Rezza, Patrizio Pezzotti, Marco Ajelli, Stefano Merler

CoRR, 2020

Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown.

Pietro Bonato, Paolo Cintia, Francesco Fabbri, Daniele Fadda, Fosca Giannotti, Pier Luigi Lopalco, Sara Mazzilli, Mirco Nanni, Luca Pappalardo, Dino Pedreschi, Francesco Penone, Salvatore Rinzivillo, Giulio Rossetti, Marcello Savarese, Lara Tavoschi

CoRR, 2020

The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems.

Francesco Fabbri, Francesco Bonchi, Ludovico Boratto, Carlos Castillo

Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

2018

Assessing the interdependencies between scientific disciplinary profiles.

Cinzia Daraio, Francesco Fabbri, Giulia Gavazzi, Maria Grazia Izzo, Luca Leuzzi, Giammarco Quaglia, Giancarlo Ruocco

Scientometrics, 2018

2017

Assessing the Interdependencies between Scientific Disciplinary Profiles at the Country Level: a Pseudo-Likelihood Approach.

Cinzia Daraio, Francesco Fabbri, Giulia Gavazzi, Maria Grazia Izzo, Luca Leuzzi, Giammarco Quaglia, Giancarlo Ruocco

Proceedings of the 16th International Conference on Scientometrics and Informetrics, 2017