Guglielmo Faggioli
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
7
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ECIR | Reducing Human Effort to Validate LLM Relevance Judgements via Stratified Sampling. | Simone Merlo, Stefano Marchesin, Guglielmo Faggioli, Nicola Ferro |
| 2026 | ECIR | When Reducing Representations Improves Performance. | Andrea Pasin, Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto |
| 2026 | SIGIR | Privacy Preserving Information Retrieval: Defining Privacy Research Pillars for a Future Research Agenda. | Francesco Luigi De Faveri, Guglielmo Faggioli, Asia J. Biega, Nicola Ferro |
| 2025 | CIKM | DP-COMET: A Differential Privacy Contextual Obfuscation MEchanism for Texts in Natural Language Processing. | Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro |
| 2025 | CIKM | A Cost-Effective Framework to Evaluate LLM-Generated Relevance Judgements. | Simone Merlo, Stefano Marchesin, Guglielmo Faggioli, Nicola Ferro |
| 2025 | ECIR | Conversational Information Retrieval and Recommender Systems. | Guglielmo Faggioli, Nicola Ferro, Simone Merlo |
| 2025 | ECIR | Query Performance Prediction Using Dimension Importance Estimators. | Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto |
| 2025 | ECIR | Measuring Actual Privacy of Obfuscated Queries in Information Retrieval. | Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro |
| 2025 | ECIR | QPP++ 2025: Query Performance Prediction and Its Applications in the Era of Large Language Models. | Chuan Meng, Guglielmo Faggioli, Mohammad Aliannejadi, Nicola Ferro, Josiane Mothe |
| 2025 | ECIR | A Reproducibility Study for Joint Information Retrieval and Recommendation in Product Search. | Simone Merlo, Guglielmo Faggioli, Nicola Ferro |
| 2025 | ICTIR | A Robustness Assessment of Query Performance Prediction (QPP) Methods Based on Risk-Sensitive Analysis. | Ricardo Maral de Andrade Nascimento, Daniel Xavier de Sousa, Guglielmo Faggioli, Paulo Jos Lage Alvarenga, Nicola Ferro, Marcos Andr Gonalves |
| 2025 | SIGIR | CoSRec: A Joint Conversational Search and Recommendation Dataset. | Marco Alessio, Simone Merlo, Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Cristina Ioana Muntean, Franco Maria Nardini, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci, Nicola Viterbo |
| 2025 | SIGIR | CoDIME: A Counterfactual Approach for Dimension Importance Estimation through Click Logs. | Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto |
| 2025 | SIGIR | A Comparative Study of Large Language Models and Traditional Privacy Measures to Evaluate Query Obfuscation Approaches. | Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro |
| 2025 | SIGIR | Evaluating Multi-Dimensional Cumulated Utility in Information Retrieval. | Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro, Kalervo Jrvelin |
| 2025 | SIGIR | Variations in Relevance Judgments and the Shelf Life of Test Collections. | Andrew Parry, Maik Frbe, Harrisen Scells, Ferdinand Schlatt, Guglielmo Faggioli, Saber Zerhoudi, Sean MacAvaney, Eugene Yang |
| 2025 | SIGIR | LLM4Eval: Large Language Model for Evaluation in IR. | Clemencia Siro, Hossein A. Rahmani, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz |
| 2025 | WSDM | LLM4Eval@WSDM 2025: Large Language Model for Evaluation in Information Retrieval. | Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz |
| 2024 | CIKM | pyPANTERA: A Python PAckage for Natural language obfuscaTion Enforcing pRivacy & Anonymization. | Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro |
| 2024 | ECIR | Query Obfuscation for Information Retrieval Through Differential Privacy. | Guglielmo Faggioli, Nicola Ferro |
| 2024 | SIGIR | Dimension Importance Estimation for Dense Information Retrieval. | Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto |
| 2024 | SIGIR | LLM4Eval: Large Language Model for Evaluation in IR. | Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz |
| 2023 | ECIR | Query Performance Prediction for Neural IR: Are We There Yet? | Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stphane Clinchant, Nicola Ferro, Benjamin Piwowarski |
| 2023 | ECIR | QPP++ 2023: Query-Performance Prediction and Its Evaluation in New Tasks. | Guglielmo Faggioli, Nicola Ferro, Josiane Mothe, Fiana Raiber |
| 2023 | ICTIR | Perspectives on Large Language Models for Relevance Judgment. | Guglielmo Faggioli, Laura Dietz, Charles L. A. Clarke, Gianluca Demartini, Matthias Hagen, Claudia Hauff, Noriko Kando, Evangelos Kanoulas, Martin Potthast, Benno Stein, Henning Wachsmuth |
| 2023 | ICTIR | Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities. | Guglielmo Faggioli, Thibault Formal, Simon Lupart, Stefano Marchesin, Stphane Clinchant, Nicola Ferro, Benjamin Piwowarski |
| 2023 | SIGIR | DECAF: A Modular and Extensible Conversational Search Framework. | Marco Alessio, Guglielmo Faggioli, Nicola Ferro |
| 2023 | SIGIR | A Geometric Framework for Query Performance Prediction in Conversational Search. | Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto |
| 2022 | CIKM | Detecting Significant Differences Between Information Retrieval Systems via Generalized Linear Models. | Guglielmo Faggioli, Nicola Ferro, Norbert Fuhr |
| 2022 | ECIR | A Dependency-Aware Utterances Permutation Strategy to Improve Conversational Evaluation. | Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto |
| 2022 | SIGIR | Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers. | Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi |
| 2021 | ECIR | System Effect Estimation by Sharding: A Comparison Between ANOVA Approaches to Detect Significant Differences. | Guglielmo Faggioli, Nicola Ferro |
| 2021 | ECIR | An Enhanced Evaluation Framework for Query Performance Prediction. | Guglielmo Faggioli, Oleg Zendel, J. Shane Culpepper, Nicola Ferro, Falk Scholer |
| 2021 | SIGIR | Enabling Performance Prediction in Information Retrieval Evaluation. | Guglielmo Faggioli |
| 2021 | SIGIR | Hierarchical Dependence-aware Evaluation Measures for Conversational Search. | Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto |
| 2019 | ICANN | Evaluation of Tag Clusterings for User Profiling in Movie Recommendation. | Guglielmo Faggioli, Mirko Polato, Ivano Lauriola, Fabio Aiolli |
| 2019 | ICANN | Playing the Large Margin Preference Game. | Mirko Polato, Guglielmo Faggioli, Ivano Lauriola, Fabio Aiolli |
| 2018 | RecSys | Efficient Similarity Based Methods For The Playlist Continuation Task. | Guglielmo Faggioli, Mirko Polato, Fabio Aiolli |