Francesco Fabbri

55 papers A* 6A 9C 1Journal 30Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deploying Semantic ID-based Generative Retrieval for Large-Scale Podcast Discovery at Spotify. CoRR Edoardo D'Amico, Marco De Nadai, Praveen Chandar, Divita Vohra, Shawn Lin, Max Lefarov, Paul Gigioli, Gustavo Penha, Ilya Kopysitsky, Ivo Joel Senese, Darren Mei, Francesco Fabbri, Oguz Semerci, Yu Zhao, Vincent Tang, Brian St. Thomas, Alexandra Ranieri, Matthew N. K. Smith, Aaron Bernkopf, Bryan Leung, Ghazal Fazelnia, Mark VanMiddlesworth, Timothy Christopher Heath, Petter Pehrson Skidén, Alice Y. Wang, Doug J. Cole, Andreas Damianou, Maya Hristakeva, Reid Wilbur, Tarun Chillara, Vladan Radosavljevic, Pooja Chitkara, Sainath Adapa, Juan Elenter, Bernd Huber, Jacqueline Wood, Saaketh Vedantam, Jan Stypka, Sandeep Ghael, Martin D. Gould, David Murgatroyd, Yves Raimond, Mounia Lalmas, Paul N. Bennett
2026	J	`jnl`	Graph-Convolutional-Beta-VAE for synthetic abdominal aortic aneurysm generation. Medical Biol. Eng. Comput. Francesco Fabbri, Martino Andrea Scarpolini, Angelo Iollo, Francesco Viola, Francesco Tudisco
2025	J	`jnl`	Algorithmic Drift: A simulation framework to study the effects of recommender systems on user preferences. Inf. Process. Manag. Erica Coppolillo, Simone Mungari, Ettore Ritacco, Francesco Fabbri, Marco Minici, Francesco Bonchi, Giuseppe Manco
2025	J	`jnl`	Do LLM-judges Align with Human Relevance in Cranfield-style Recommender Evaluation? CoRR Gustavo Penha, Aleksandr V. Petrov, Claudia Hauff, Enrico Palumbo, Ali Vardasbi, Edoardo D'Amico, Francesco Fabbri, Alice Wang, Praveen Chandar, Henrik Lindström, Hugues Bouchard, Mounia Lalmas
2025	A	`conf`	Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge. RecSys Francesco Fabbri, Gustavo Penha, Edoardo D'Amico, Alice Wang, Marco De Nadai, Jackie Doremus, Paul Gigioli, Andreas Damianou, Oskar Stål, Mounia Lalmas
2025	J	`jnl`	Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge. CoRR Francesco Fabbri, Gustavo Penha, Edoardo D'Amico, Alice Wang, Marco De Nadai, Jackie Doremus, Paul Gigioli, Andreas Damianou, Oskar Stål, Mounia Lalmas
2025	J	`jnl`	GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning. ACM Trans. Intell. Syst. Technol. Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto, Gianni Fenu
2025	J	`jnl`	Graph-Convolutional-Beta-VAE for Synthetic Abdominal Aorta Aneurysm Generation. CoRR Francesco Fabbri, Martino Andrea Scarpolini, Angelo Iollo, Francesco Viola, Francesco Tudisco
2025	A*	`conf`	IOHunter: Graph Foundation Model to Uncover Online Information Operations. AAAI Marco Minici, Luca Luceri, Francesco Fabbri, Emilio Ferrara
2025	—	`conf`	Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models. FAccT Konstantina Palla, José Luis Redondo García, Claudia Hauff, Francesco Fabbri, Andreas Damianou, Henrik Lindström, Daniel R. Taber, Mounia Lalmas
2025	J	`jnl`	Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models. CoRR Konstantina Palla, José Luis Redondo García, Claudia Hauff, Francesco Fabbri, Henrik Lindström, Daniel R. Taber, Andreas Damianou, Mounia Lalmas
2025	A	`conf`	Prompt-to-Slate: Diffusion Models for Prompt-Conditioned Slate Generation. RecSys Federico Tomasi, Francesco Fabbri, Justin Carter, Elias Kalomiris, Mounia Lalmas, Zhenwen Dai
2025	A	`conf`	Semantic IDs for Joint Generative Search and Recommendation. RecSys Gustavo Penha, Edoardo D'Amico, Marco De Nadai, Enrico Palumbo, Alexandre Tamborrino, Ali Vardasbi, Max Lefarov, Shawn Lin, Timothy Christopher Heath, Francesco Fabbri, Hugues Bouchard
2025	J	`jnl`	Semantic IDs for Joint Generative Search and Recommendation. CoRR Gustavo Penha, Edoardo D'Amico, Marco De Nadai, Enrico Palumbo, Alexandre Tamborrino, Ali Vardasbi, Max Lefarov, Shawn Lin, Timothy Christopher Heath, Francesco Fabbri, Hugues Bouchard
2024	J	`jnl`	Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences. CoRR Erica Coppolillo, Simone Mungari, Ettore Ritacco, Francesco Fabbri, Marco Minici, Francesco Bonchi, Giuseppe Manco
2024	J	`jnl`	Bias-aware ranking from pairwise comparisons. Data Min. Knowl. Discov. Antonio Ferrara, Francesco Bonchi, Francesco Fabbri, Fariba Karimi, Claudia Wagner
2024	—	`conf`	Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks. IIR Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
2024	J	`jnl`	Diffusion Model for Slate Recommendation. CoRR Federico Tomasi, Francesco Fabbri, Mounia Lalmas, Zhenwen Dai
2024	A*	`conf`	Dynamic Games with Noisy Informational Asymmetries. EC Francesco Fabbri, Sofia Moroni
2024	A	`conf`	Fair Augmentation for Graph Collaborative Filtering. RecSys Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
2024	J	`jnl`	Fair Augmentation for Graph Collaborative Filtering. CoRR Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
2024	J	`jnl`	IOHunter: Graph Foundation Model to Uncover Online Information Operations. CoRR Marco Minici, Luca Luceri, Francesco Fabbri, Emilio Ferrara
2024	—	`conf`	Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks. WWW (Companion Volume) 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
2024	J	`jnl`	Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks. CoRR 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-Roelleke, Andreas Damianou
2024	—	`conf`	Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation. ECIR (3) Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
2024	J	`jnl`	Robustness in Fairness against Edge-level Perturbations in GNN-based Recommendation. CoRR Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
2024	—	`conf`	Towards Graph Foundation Models for Personalization. WWW (Companion Volume) Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas
2024	J	`jnl`	Towards Graph Foundation Models for Personalization. CoRR Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas
2023	A	`conf`	Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. CIKM Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
2023	J	`jnl`	Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. CoRR Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda
2023	J	`jnl`	Fair Max-Min Diversity Maximization in Streaming and Sliding-Window Models. Entropy Yanhao Wang, Francesco Fabbri, Michael Mathioudakis, Jia Li
2023	J	`jnl`	FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems. CoRR Francesco Fabbri, Xianghang Liu, Jack R. McKenzie, Bartlomiej Twardowski, Tri Kurniawan Wijaya
2023	J	`jnl`	GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning. CoRR Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto, Gianni Fenu
2023	A	`conf`	Graph Learning for Exploratory Query Suggestions in an Instant Search System. CIKM 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
2023	A	`conf`	Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms. SDM Yanhao Wang, Michael Mathioudakis, Jia Li, Francesco Fabbri
2023	J	`jnl`	Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms. CoRR Yanhao Wang, Michael Mathioudakis, Jia Li, Francesco Fabbri
2023	A*	`conf`	Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract). IJCAI Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis
2023	—	`conf`	The Interconnected Nature of Online Harm and Moderation: Investigating the Cross-Platform Spread of Harmful Content between YouTube and Twitter. HT Valerio La Gatta, Luca Luceri, Francesco Fabbri, Emilio Ferrara
2023	J	`jnl`	The Interconnected Nature of Online Harm and Moderation: Investigating the Cross-Platform Spread of Harmful Content between YouTube and Twitter. CoRR Valerio La Gatta, Luca Luceri, Francesco Fabbri, Emilio Ferrara
2022	—	`—`	Algorithmic bias in graph-based recommender systems Francesco Fabbri
2022	A	`conf`	Exposure Inequality in People Recommender Systems: The Long-Term Effects. ICWSM Francesco Fabbri, Maria Luisa Croci, Francesco Bonchi, Carlos Castillo
2022	A*	`conf`	Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. WWW Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis
2022	J	`jnl`	Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. CoRR Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis
2022	A*	`conf`	Streaming Algorithms for Diversity Maximization with Fairness Constraints. ICDE Yanhao Wang, Francesco Fabbri, Michael Mathioudakis
2022	J	`jnl`	Streaming Algorithms for Diversity Maximization with Fairness Constraints. CoRR Yanhao Wang, Francesco Fabbri, Michael Mathioudakis
2021	C	`conf`	Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market. AIES David Solans, Francesco Fabbri, Caterina Calsamiglia, Carlos Castillo, Francesco Bonchi
2021	J	`jnl`	Exposure Inequality in People Recommender Systems: The Long-Term Effects. CoRR Francesco Fabbri, Maria Luisa Croci, Francesco Bonchi, Carlos Castillo
2021	A*	`conf`	Fair and Representative Subset Selection from Data Streams. WWW Yanhao Wang, Francesco Fabbri, Michael Mathioudakis
2021	—	`conf`	From the Beatles to Billie Eilish: Connecting Provider Representativeness and Exposure in Session-Based Recommender Systems. ECIR (2) Alejandro Ariza, Francesco Fabbri, Ludovico Boratto, Maria Salamó
2020	J	`jnl`	Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown. CoRR 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
2020	J	`jnl`	Streaming Submodular Maximization with Fairness Constraints. CoRR Yanhao Wang, Francesco Fabbri, Michael Mathioudakis
2020	A	`conf`	The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems. ICWSM Francesco Fabbri, Francesco Bonchi, Ludovico Boratto, Carlos Castillo
2020	J	`jnl`	The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy. CoRR 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
2018	J	`jnl`	Assessing the interdependencies between scientific disciplinary profiles. Scientometrics Cinzia Daraio, Francesco Fabbri, Giulia Gavazzi, Maria Grazia Izzo, Luca Leuzzi, Giammarco Quaglia, Giancarlo Ruocco
2017	—	`conf`	Assessing the Interdependencies between Scientific Disciplinary Profiles at the Country Level: a Pseudo-Likelihood Approach. ISSI Cinzia Daraio, Francesco Fabbri, Giulia Gavazzi, Maria Grazia Izzo, Luca Leuzzi, Giammarco Quaglia, Giancarlo Ruocco