Francesco Fabbri

Orcid: 0000-0002-9631-1799

According to our database1, Francesco Fabbri authored at least 24 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Towards Graph Foundation Models for Personalization.
CoRR, 2024

Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks.
CoRR, 2024

Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation.
Proceedings of the Advances in Information Retrieval, 2024

2023
Fair Max-Min Diversity Maximization in Streaming and Sliding-Window Models.
Entropy, July, 2023

FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems.
CoRR, 2023

GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning.
CoRR, 2023

Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract).
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.
Proceedings of the 34th ACM Conference on Hypertext and Social Media, 2023

Graph Learning for Exploratory Query Suggestions in an Instant Search System.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Algorithmic bias in graph-based recommender systems
PhD thesis, 2022

Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways.
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.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Streaming Algorithms for Diversity Maximization with Fairness Constraints.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Fair and Representative Subset Selection from Data Streams.
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.
Proceedings of the Advances in Information Retrieval, 2021

Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Streaming Submodular Maximization with Fairness Constraints.
CoRR, 2020

The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy.
CoRR, 2020

Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown.
CoRR, 2020

The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

2018
Assessing the interdependencies between scientific disciplinary profiles.
Scientometrics, 2018

2017
Assessing the Interdependencies between Scientific Disciplinary Profiles at the Country Level: a Pseudo-Likelihood Approach.
Proceedings of the 16th International Conference on Scientometrics and Informetrics, 2017


  Loading...