Publications
Peer-reviewed papers, preprints, and thesis. Newest first.
  1. 2026
  2. Deploying Semantic ID-based Generative Retrieval for Large-Scale Podcast Discovery at Spotify
    E. D'Amico, M. De Nadai, P. Chandar, D. Vohra, S. Lin, M. Lefarov, P. Gigioli, G. Penha, I. Kopysitsky, I. J. Senese, D. Mei, F. Fabbri, O. Semerci, Y. Zhao, V. Tang, B. St. Thomas, A. Ranieri, M. N. K. Smith, A. Bernkopf, B. Leung, G. Fazelnia, M. VanMiddlesworth, T. C. Heath, P. P. Skidén, A. Y. Wang, D. J. Cole, A. Damianou, M. Hristakeva, R. Wilbur, T. Chillara, V. Radosavljevic, P. Chitkara, S. Adapa, J. Elenter, B. Huber, J. Wood, S. Vedantam, J. Stypka, S. Ghael, M. D. Gould, D. Murgatroyd, Y. Raimond, M. Lalmas, P. N. Bennett · Preprint
  3. 2025
  4. Do LLM-judges Align with Human Relevance in Cranfield-style Recommender Evaluation?
    G. Penha, A. V. Petrov, C. Hauff, E. Palumbo, A. Vardasbi, E. D'Amico, F. Fabbri, A. Wang, P. Chandar, H. Lindström, H. Bouchard, M. Lalmas · Preprint
  5. Semantic IDs for Joint Generative Search and Recommendation
    G. Penha, E. D'Amico, M. De Nadai, E. Palumbo, A. Tamborrino, A. Vardasbi, M. Lefarov, S. Lin, T. C. Heath, F. Fabbri, H. Bouchard · RecSys '25 · LBR
  6. Prompt-to-Slate: Diffusion Models for Prompt-Conditioned Slate Generation
    F. Tomasi, F. Fabbri, M. Lalmas, Z. Dai · RecSys '25
  7. Profile-aware LLM-as-a-Judge for Podcasts: A Better Middle Ground Between Offline Metrics and A/B Tests
    F. Fabbri, G. Penha, E. D'Amico, A. Wang, M. De Nadai, C. Hauff · RecSys '25 · LBR
  8. Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences
    E. Coppolillo, S. Mungari, E. Ritacco, F. Fabbri, M. Minici, F. Bonchi, G. Manco · Information Processing & Management
  9. Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models
    K. Palla, J. L. Redondo García, C. Hauff, F. Fabbri, H. Lindström, D. R. Taber, A. Damianou, M. Lalmas · FAccT '25
  10. GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning
    G. Medda, F. Fabbri, M. Marras, L. Boratto, G. Fenu · ACM TOIS
  11. 2024
  12. IOHunter: Graph Foundation Model to Uncover Online Information Operations
    M. Minici, L. Luceri, F. Fabbri, E. Ferrara · AAAI '25 · AI for Social Impact
  13. Fair Augmentation for Graph Collaborative Filtering
    L. Boratto, F. Fabbri, G. Fenu, M. Marras, G. Medda · RecSys '24
  14. Bias-aware ranking from pairwise comparisons
    A. Ferrara, F. Bonchi, F. Fabbri, F. Karimi, C. Wagner · Data Mining and Knowledge Discovery
  15. Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks
    M. De Nadai, F. Fabbri, P. Gigioli, A. Wang, A. Li, F. Silvestri, L. Kim, S. Lin, V. Radosavljevic, S. Ghael, D. Nyhan, H. Bouchard, M. Lalmas, A. Damianou · theWebConf '24 · oral · lead author
  16. Towards Graph Foundation Models for Personalization
    A. Damianou, F. Fabbri, P. Gigioli, M. De Nadai, A. Wang, E. Palumbo, M. Lalmas · theWebConf '24
  17. Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation
    L. Boratto, F. Fabbri, G. Fenu, M. Marras, G. Medda · ECIR '24
  18. 2023
  19. Graph Learning for Exploratory Query Suggestions in an Instant Search System
    E. Palumbo, A. Damianou, A. Wang, A. Liu, G. Fazelnia, F. Fabbri, R. Ferreira, F. Silvestri, H. Bouchard, C. Hauff, M. Lalmas, B. Carterette, P. Chandar, D. Nyhan · CIKM '23
  20. Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems
    L. Boratto, F. Fabbri, G. Fenu, M. Marras, G. Medda · CIKM '23
  21. The Interconnected Nature of Online Harm and Moderation: Investigating the Cross-Platform Spread of Harmful Content between YouTube and Twitter
    V. Gatta, L. Luceri, F. Fabbri, E. Ferrara · HT '23
  22. Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract)
    F. Fabbri, Y. Wang, F. Bonchi, C. Castillo, M. Mathioudakis · IJCAI '23
  23. Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms
    Y. Wang, M. Mathioudakis, J. Li, F. Fabbri · SDM '23
  24. Fair Max-Min Diversity Maximization in Streaming and Sliding-Window Models
    Y. Wang, F. Fabbri, M. Mathioudakis, J. Li · Entropy
  25. 2022
  26. Algorithmic bias in graph-based recommender systems
    F. Fabbri · PhD Thesis · UPF
  27. Exposure Inequality in People Recommender Systems: The Long-Term Effects
    F. Fabbri, M. Croci, F. Bonchi, C. Castillo · ICWSM '22
  28. Streaming Algorithms for Diversity Maximization with Fairness Constraints
    Y. Wang, F. Fabbri, M. Mathioudakis · ICDE '22
  29. ★ Best Paper · Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways
    F. Fabbri, Y. Wang, F. Bonchi, C. Castillo, M. Mathioudakis · theWebConf '22
  30. 2021
  31. Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market
    D. Solans, F. Fabbri, C. Calsamiglia, C. Castillo, F. Bonchi · AIES '21
  32. Fair and Representative Subset Selection from Data Streams
    Y. Wang, F. Fabbri, M. Mathioudakis · WWW '21
  33. From the Beatles to Billie Eilish: Connecting Provider Representativeness and Exposure in Session-Based Recommender Systems
    A. Ariza, F. Fabbri, L. Boratto, M. Salamó · ECIR '21
  34. 2020
  35. The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems
    F. Fabbri, F. Bonchi, L. Boratto, C. Castillo · ICWSM '20