Francesco Fabbri
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
10
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | IOHunter: Graph Foundation Model to Uncover Online Information Operations. | Marco Minici, Luca Luceri, Francesco Fabbri, Emilio Ferrara |
| 2025 | RecSys | Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge. | Francesco Fabbri, Gustavo Penha, Edoardo D'Amico, Alice Wang, Marco De Nadai, Jackie Doremus, Paul Gigioli, Andreas Damianou, Oskar Stl, Mounia Lalmas |
| 2025 | RecSys | Semantic IDs for Joint Generative Search and Recommendation. | 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 | RecSys | Prompt-to-Slate: Diffusion Models for Prompt-Conditioned Slate Generation. | Federico Tomasi, Francesco Fabbri, Justin Carter, Elias Kalomiris, Mounia Lalmas, Zhenwen Dai |
| 2024 | ECIR | Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation. | Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda |
| 2024 | RecSys | Fair Augmentation for Graph Collaborative Filtering. | Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda |
| 2024 | WWW | Towards Graph Foundation Models for Personalization. | Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas |
| 2024 | WWW | 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 |
| 2023 | CIKM | Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems. | Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda |
| 2023 | CIKM | 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 |
| 2023 | IJCAI | Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract). | Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis |
| 2023 | SDM | Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms. | Yanhao Wang, Michael Mathioudakis, Jia Li, Francesco Fabbri |
| 2022 | ICDE | Streaming Algorithms for Diversity Maximization with Fairness Constraints. | Yanhao Wang, Francesco Fabbri, Michael Mathioudakis |
| 2022 | ICWSM | Exposure Inequality in People Recommender Systems: The Long-Term Effects. | Francesco Fabbri, Maria Luisa Croci, Francesco Bonchi, Carlos Castillo |
| 2022 | WWW | Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. | Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis |
| 2021 | AIES | 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 |
| 2021 | ECIR | From the Beatles to Billie Eilish: Connecting Provider Representativeness and Exposure in Session-Based Recommender Systems. | Alejandro Ariza, Francesco Fabbri, Ludovico Boratto, Maria Salam |
| 2021 | WWW | Fair and Representative Subset Selection from Data Streams. | Yanhao Wang, Francesco Fabbri, Michael Mathioudakis |
| 2020 | ICWSM | The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems. | Francesco Fabbri, Francesco Bonchi, Ludovico Boratto, Carlos Castillo |