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Francesco Fabbri

7 papers at tracked venues · 3 at CORE A* · active 2024–2025

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Venues

RecSys ×4WWW ×2AAAI ×1

Frequent coauthors

Marco De Nadai
×4
Mounia Lalmas
×4
Alice Wang
×3
Paul Gigioli
×3
Andreas Damianou
×3
Gustavo Penha
×2
Edoardo D'Amico
×2
Enrico Palumbo
×2
Shawn Lin
×2
Hugues Bouchard
×2
Jackie Doremus
×1
Oskar Stål
×1

Papers

  1. Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge
    RecSys 2025 · Francesco Fabbri,
    Gustavo Penha
    ,
    Edoardo D'Amico
    ,
    Alice Wang
    ,
    Marco De Nadai
    ,
    Jackie Doremus
    ,
    Paul Gigioli
    ,
    Andreas Damianou
    ,
    Oskar Stål
    ,
    Mounia Lalmas
  2. IOHunter: Graph Foundation Model to Uncover Online Information Operations
    AAAI 2025 ·
    Marco Minici
    ,
    Luca Luceri
    , Francesco Fabbri,
    Emilio Ferrara
  3. Prompt-to-Slate: Diffusion Models for Prompt-Conditioned Slate Generation
    RecSys 2025 ·
    Federico Tomasi
    , Francesco Fabbri,
    Justin Carter
    ,
    Elias Kalomiris
    ,
    Mounia Lalmas
    ,
    Zhenwen Dai
  4. Semantic IDs for Joint Generative Search and Recommendation
    RecSys 2025 ·
    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
  5. Fair Augmentation for Graph Collaborative Filtering
    RecSys 2024 ·
    Ludovico Boratto
    , Francesco Fabbri,
    Gianni Fenu
    ,
    Mirko Marras
    ,
    Giacomo Medda
  6. Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks
    WWW 2024 ·
    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
  7. Towards Graph Foundation Models for Personalization
    WWW 2024 ·
    Andreas Damianou
    , Francesco Fabbri,
    Paul Gigioli
    ,
    Marco De Nadai
    ,
    Alice Wang
    ,
    Enrico Palumbo
    ,
    Mounia Lalmas