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Francesco Fabbri
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2020 – today
- 2024
- [j3]Antonio Ferrara
, Francesco Bonchi, Francesco Fabbri, Fariba Karimi, Claudia Wagner:
Bias-aware ranking from pairwise comparisons. Data Min. Knowl. Discov. 38(4): 2062-2086 (2024) - [c19]Ludovico Boratto
Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation. ECIR (3) 2024: 38-55 - [c18]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Comprehensive Assessment of Robustness in Fairness of GNN-based Recommender Systems against Attacks. IIR 2024: 62-65 - [c17]Ludovico Boratto
Fair Augmentation for Graph Collaborative Filtering. RecSys 2024: 158-168 - [c16]Francesco Fabbri
Dynamic Games with Noisy Informational Asymmetries. EC 2024: 209 - [c15]Marco De Nadai
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks. WWW (Companion Volume) 2024: 403-412 - [c14]Andreas Damianou
Towards Graph Foundation Models for Personalization. WWW (Companion Volume) 2024: 1798-1802 - [i17]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Robustness in Fairness against Edge-level Perturbations in GNN-based Recommendation. CoRR abs/2401.13823 (2024) - [i16]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:
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks. CoRR abs/2403.05185 (2024) - [i15]Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang
Towards Graph Foundation Models for Personalization. CoRR abs/2403.07478 (2024) - [i14]Federico Tomasi, Francesco Fabbri, Mounia Lalmas, Zhenwen Dai:
Diffusion Model for Slate Recommendation. CoRR abs/2408.06883 (2024) - [i13]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Fair Augmentation for Graph Collaborative Filtering. CoRR abs/2408.12208 (2024) - [i12]Erica Coppolillo, Simone Mungari, Ettore Ritacco, Francesco Fabbri, Marco Minici, Francesco Bonchi, Giuseppe Manco:
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences. CoRR abs/2409.16478 (2024) - 2023
- [j2]Yanhao Wang
Fair Max-Min Diversity Maximization in Streaming and Sliding-Window Models. Entropy 25(7): 1066 (2023) - [c13]Ludovico Boratto
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. CIKM 2023: 3753-3757 - [c12]Enrico Palumbo
Graph Learning for Exploratory Query Suggestions in an Instant Search System. CIKM 2023: 4780-4786 - [c11]Valerio La Gatta
The Interconnected Nature of Online Harm and Moderation: Investigating the Cross-Platform Spread of Harmful Content between YouTube and Twitter. HT 2023: 39:1-39:10 - [c10]Francesco Fabbri, Yanhao Wang
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract). IJCAI 2023: 6431-6435 - [c9]Yanhao Wang
Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms. SDM 2023: 91-99 - [i11]Yanhao Wang
Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms. CoRR abs/2301.02053 (2023) - [i10]Valerio La Gatta, Luca Luceri, Francesco Fabbri, Emilio Ferrara:
The Interconnected Nature of Online Harm and Moderation: Investigating the Cross-Platform Spread of Harmful Content between YouTube and Twitter. CoRR abs/2304.01371 (2023) - [i9]Giacomo Medda, Francesco Fabbri, Mirko Marras, Ludovico Boratto, Gianni Fenu:
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning. CoRR abs/2304.06182 (2023) - [i8]Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda:
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. CoRR abs/2308.12083 (2023) - [i7]Francesco Fabbri, Xianghang Liu, Jack R. McKenzie, Bartlomiej Twardowski, Tri Kurniawan Wijaya:
FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems. CoRR abs/2309.08635 (2023) - 2022
- [b1]Francesco Fabbri:
Algorithmic bias in graph-based recommender systems. Pompeu Fabra University, Spain, 2022 - [c8]Yanhao Wang
Streaming Algorithms for Diversity Maximization with Fairness Constraints. ICDE 2022: 41-53 - [c7]Francesco Fabbri, Maria Luisa Croci, Francesco Bonchi, Carlos Castillo:
Exposure Inequality in People Recommender Systems: The Long-Term Effects. ICWSM 2022: 194-204 - [c6]Francesco Fabbri, Yanhao Wang
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. WWW 2022: 2719-2728 - [i6]Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis:
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. CoRR abs/2202.00640 (2022) - [i5]Yanhao Wang
Streaming Algorithms for Diversity Maximization with Fairness Constraints. CoRR abs/2208.00194 (2022) - 2021
- [c5]David Solans
Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market. AIES 2021: 978-988 - [c4]Alejandro Ariza
From the Beatles to Billie Eilish: Connecting Provider Representativeness and Exposure in Session-Based Recommender Systems. ECIR (2) 2021: 201-208 - [c3]Yanhao Wang
Fair and Representative Subset Selection from Data Streams. WWW 2021: 1340-1350 - [i4]Francesco Fabbri, Maria Luisa Croci, Francesco Bonchi, Carlos Castillo:
Exposure Inequality in People Recommender Systems: The Long-Term Effects. CoRR abs/2112.08237 (2021) - 2020
- [c2]Francesco Fabbri, Francesco Bonchi, Ludovico Boratto, Carlos Castillo:
The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems. ICWSM 2020: 165-175 - [i3]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:
Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown. CoRR abs/2004.11278 (2020) - [i2]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
The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy. CoRR abs/2006.03141 (2020) - [i1]Yanhao Wang
Streaming Submodular Maximization with Fairness Constraints. CoRR abs/2010.04412 (2020)
2010 – 2019
- 2018
- [j1]Cinzia Daraio, Francesco Fabbri, Giulia Gavazzi, Maria Grazia Izzo
Assessing the interdependencies between scientific disciplinary profiles. Scientometrics 116(3): 1785-1803 (2018) - 2017
- [c1]Cinzia Daraio, Francesco Fabbri, Giulia Gavazzi, Maria Grazia Izzo, Luca Leuzzi, Giammarco Quaglia, Giancarlo Ruocco:
Assessing the Interdependencies between Scientific Disciplinary Profiles at the Country Level: a Pseudo-Likelihood Approach. ISSI 2017: 1448-1459
Coauthor Index
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last updated on 2024-12-22 19:58 CET by the dblp team
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