IR
Anthology
Community
Claudio
Lucchese
2025
doi
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Explainable, Effective, and Efficient Learning-to-Rank Models Using ILMART.
Claudio Lucchese
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Franco Maria Nardini
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Salvatore Orlando
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Raffaele Perego
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Alberto Veneri
ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 4
doi
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LambdaFair for Fair and Effective Ranking.
Federico Marcuzzi
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Claudio Lucchese
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Salvatore Orlando
Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part IV
doi
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Efficient Re-ranking with Cross-encoders via Early Exit.
Francesco Busolin
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Claudio Lucchese
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Franco Maria Nardini
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Salvatore Orlando
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Raffaele Perego
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Salvatore Trani
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Alberto Veneri
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
2024
doi
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Special Section on Efficiency in Neural Information Retrieval.
Sebastian Bruch
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Claudio Lucchese
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Maria Maistro
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Franco Maria Nardini
ACM Transactions on Information Systems (TOIS) 2024 Volume 42 Issue 5
doi
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Early Exit Strategies for Approximate k-NN Search in Dense Retrieval.
Francesco Busolin
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Claudio Lucchese
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Franco Maria Nardini
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Salvatore Orlando
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Raffaele Perego
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Salvatore Trani
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi
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A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search.
Thomas Vecchiato
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Claudio Lucchese
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Franco Maria Nardini
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Sebastian Bruch
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
2023
doi
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Efficient and Effective Tree-based and Neural Learning to Rank.
Sebastian Bruch
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Claudio Lucchese
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Franco Maria Nardini
Foundations and Trends in Information Retrieval 2023 Volume 17 Issue 1
doi
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Can Embeddings Analysis Explain Large Language Model Ranking?
Claudio Lucchese
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Giorgia Minello
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Franco Maria Nardini
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Salvatore Orlando
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Raffaele Perego
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Alberto Veneri
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi
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LambdaRank Gradients are Incoherent.
Federico Marcuzzi
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Claudio Lucchese
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Salvatore Orlando
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
2022
doi
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Report on the 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR 2022) at SIGIR 2022.
Sebastian Bruch
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Claudio Lucchese
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Franco Maria Nardini
SIGIR Forum 2022 Volume 56 Issue 2
doi
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Filtering out Outliers in Learning to Rank.
Federico Marcuzzi
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Claudio Lucchese
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Salvatore Orlando
ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022
doi
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ReNeuIR: Reaching Efficiency in Neural Information Retrieval.
Walid Magdy
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Sebastian Bruch
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Claudio Lucchese
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Franco Maria Nardini
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Sebastian Bruch
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Walid Magdy
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
doi
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ILMART: Interpretable Ranking with Constrained LambdaMART.
Claudio Lucchese
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Franco Maria Nardini
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Salvatore Orlando
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Raffaele Perego
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Alberto Veneri
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
2021
doi
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Learning Early Exit Strategies for Additive Ranking Ensembles.
Francesco Busolin
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Claudio Lucchese
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Franco Maria Nardini
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Salvatore Orlando
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Raffaele Perego
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Salvatore Trani
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
2020
doi
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Boosting learning to rank with user dynamics and continuation methods.
Nicola Ferro
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Claudio Lucchese
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Maria Maistro
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Raffaele Perego
Discover Computing 2020 Volume 23 Issue 6
doi
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Query-level Early Exit for Additive Learning-to-Rank Ensembles.
Claudio Lucchese
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Franco Maria Nardini
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Salvatore Orlando
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Raffaele Perego
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Salvatore Trani
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
2019
doi
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Adversarial Training of Gradient-Boosted Decision Trees.
Stefano Calzavara
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Claudio Lucchese
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Gabriele Tolomei
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
doi
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Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning.
Claudio Lucchese
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Franco Maria Nardini
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Rama Kumar Pasumarthi
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Sebastian Bruch
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Michael Bendersky
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Xuanhui Wang
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Harrie Oosterhuis
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Rolf Jagerman
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Maarten de Rijke
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019.
2018
doi
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X-CLEaVER: Learning Ranking Ensembles by Growing and Pruning Trees.
Claudio Lucchese
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Franco Maria Nardini
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Salvatore Orlando
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Raffaele Perego
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Fabrizio Silvestri
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Salvatore Trani
ACM Transactions on Intelligent Systems and Technology (TIST) 2018 Volume 9 Issue 6
doi
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Continuation Methods and Curriculum Learning for Learning to Rank.
Nicola Ferro
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Claudio Lucchese
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Maria Maistro
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Raffaele Perego
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018
doi
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Efficient and Effective Query Expansion for Web Search.
Claudio Lucchese
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Franco Maria Nardini
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Raffaele Perego
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Roberto Trani
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Rossano Venturini
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018
doi
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Selective Gradient Boosting for Effective Learning to Rank.
Claudio Lucchese
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Franco Maria Nardini
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Raffaele Perego
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Salvatore Orlando
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Salvatore Trani
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018
doi
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Do Violent People Smile: Social Media Analysis of their Profile Pictures.
Mauro Coletto
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Claudio Lucchese
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Salvatore Orlando
Companion Proceedings of the The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018
2017
doi
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Report on LEARNER 2017: 1st International Workshop on LEARning Next gEneration Rankers.
Nicola Ferro
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Claudio Lucchese
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Maria Maistro
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Raffaele Perego
SIGIR Forum 2017 Volume 51 Issue 3
doi
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LEARning Next gEneration Rankers (LEARNER 2017).
Nicola Ferro
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Claudio Lucchese
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Maria Maistro
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Raffaele Perego
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017
doi
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Efficiency/Effectiveness Trade-offs in Learning to Rank.
Claudio Lucchese
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Franco Maria Nardini
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017
doi
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On Including the User Dynamic in Learning to Rank.
Nicola Ferro
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Claudio Lucchese
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Maria Maistro
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Raffaele Perego
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017
doi
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RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.
Claudio Lucchese
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Cristina Ioana Muntean
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Franco Maria Nardini
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Raffaele Perego
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Salvatore Trani
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017
doi
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X-DART: Blending Dropout and Pruning for Efficient Learning to Rank.
Salvatore Orlando
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Sergej Zerr
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Claudio Lucchese
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Raffaele Perego
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Odysseas Papapetrou
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Franco Maria Nardini
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Salvatore Orlando
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Sergej Zerr
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Salvatore Trani
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Elena Demidova
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Raffaele Perego
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Odysseas Papapetrou
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Salvatore Trani
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Elena Demidova
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017
2016
doi
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Fast Ranking with Additive Ensembles of Oblivious and Non-Oblivious Regression Trees.
Domenico Dato
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Claudio Lucchese
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Franco Maria Nardini
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Salvatore Orlando
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Raffaele Perego
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Nicola Tonellotto
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Rossano Venturini
ACM Transactions on Information Systems (TOIS) 2016 Volume 35 Issue 2
doi
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Quality versus efficiency in document scoring with learning-to-rank models.
Gabriele Capannini
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Claudio Lucchese
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Franco Maria Nardini
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Salvatore Orlando
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Raffaele Perego
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Nicola Tonellotto
Information Processing and Management 2016 Volume 52 Issue 6
doi
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Fast Feature Selection for Learning to Rank.
Andrea Gigli
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Claudio Lucchese
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Franco Maria Nardini
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Raffaele Perego
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, ICTIR 2016, Newark, DE, USA, September 12- 6, 2016
doi
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Learning to Rank User Queries to Detect Search Tasks.
Claudio Lucchese
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Franco Maria Nardini
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Salvatore Orlando
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Gabriele Tolomei
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, ICTIR 2016, Newark, DE, USA, September 12- 6, 2016
doi
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Polarized User and Topic Tracking in Twitter.
Mauro Coletto
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Claudio Lucchese
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Salvatore Orlando
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Raffaele Perego
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016
doi
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Post-Learning Optimization of Tree Ensembles for Efficient Ranking.
Claudio Lucchese
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Franco Maria Nardini
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Salvatore Orlando
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Raffaele Perego
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Fabrizio Silvestri
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Salvatore Trani
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016
doi
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Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles.
Claudio Lucchese
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Franco Maria Nardini
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Salvatore Orlando
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Raffaele Perego
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Nicola Tonellotto
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Rossano Venturini
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016
2015
doi
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Speeding up Document Ranking with Rank-based Features.
Claudio Lucchese
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Franco Maria Nardini
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Salvatore Orlando
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Raffaele Perego
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Nicola Tonellotto
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015
doi
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QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees.
Claudio Lucchese
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Franco Maria Nardini
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Salvatore Orlando
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Raffaele Perego
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Nicola Tonellotto
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Rossano Venturini
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015
2014
doi
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Manual Annotation of Semi-Structured Documents for Entity-Linking.
Salvatore Trani
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Diego Ceccarelli
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Claudio Lucchese
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Salvatore Orlando
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Raffaele Perego
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014
2013
doi
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Discovering tasks from search engine query logs.
Claudio Lucchese
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Salvatore Orlando
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Raffaele Perego
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Fabrizio Silvestri
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Gabriele Tolomei
ACM Transactions on Information Systems (TOIS) 2013 Volume 31 Issue 3
doi
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Learning relatedness measures for entity linking.
Diego Ceccarelli
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Claudio Lucchese
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Salvatore Orlando
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Raffaele Perego
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Salvatore Trani
22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013
doi
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Twitter anticipates bursts of requests for Wikipedia articles.
Gabriele Tolomei
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Salvatore Orlando
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Diego Ceccarelli
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Claudio Lucchese
Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling and Mining from Social Media, DUBMOD@CIKM 2013 San Francisco, CA, USA, October 28, 2013
doi
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Dexter: an open source framework for entity linking.
Diego Ceccarelli
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Yaochen Zhu
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Claudio Lucchese
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Diego Ceccarelli
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Yaochen Zhu
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Haochen Liu
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Salvatore Orlando
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Raffaele Perego
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Mingxuan Ju
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Salvatore Trani
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Tong Zhao
ESAIR'13, Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, co-located with CIKM 2013, San Francisco, CA, USA, October 28, 2013
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Modeling and predicting the task-by-task behavior of search engine users.
Claudio Lucchese
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Salvatore Orlando
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Raffaele Perego
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Fabrizio Silvestri
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Gabriele Tolomei
Open research Areas in Information Retrieval, OAIR 2013, Lisbon, Portugal, May 15-17, 2013
2012
doi
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Similarity caching in large-scale image retrieval.
Fabrizio Falchi
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Claudio Lucchese
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Salvatore Orlando
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Raffaele Perego
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Fausto Rabitti
Information Processing and Management 2012 Volume 48 Issue 5
doi
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You should read this! let me explain you why: explaining news recommendations to users.
Roi Blanco
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Diego Ceccarelli
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Claudio Lucchese
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Raffaele Perego
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Fabrizio Silvestri
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012
doi
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How Random Walks Can Help Tourism.
Claudio Lucchese
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Raffaele Perego
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Fabrizio Silvestri
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Hossein Vahabi
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Rossano Venturini
Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012. Proceedings
doi
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From chatter to headlines: harnessing the real-time web for personalized news recommendation.
Gianmarco De Francisci Morales
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Aristides Gionis
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Claudio Lucchese
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, WSDM 2012, Seattle, WA, USA, February 8-12, 2012
2011
doi
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LSDS-IR'11: the 9th workshop on large-scale and distributed systems for information retrieval.
Claudio Lucchese
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Berkant Barla Cambazoglu
Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011
doi
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Identifying task-based sessions in search engine query logs.
Claudio Lucchese
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Salvatore Orlando
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Raffaele Perego
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Fabrizio Silvestri
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Gabriele Tolomei
Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011
2010
doi
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The 8th workshop on large-scale distributed systems for information retrieval (LSDS-IR'10).
Roi Blanco
|
Berkant Barla Cambazoglu
|
Claudio Lucchese
SIGIR Forum 2010 Volume 44 Issue 2
2009
doi
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7th workshop on large-scale distributed systems for information retrieval (LSDS-IR'09).
Claudio Lucchese
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Gleb Skobeltsyn
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Wai Gen Yee
SIGIR Forum 2009 Volume 43 Issue 2
2008
doi
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A metric cache for similarity search.
Raffaele Perego
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Fabrizio Falchi
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Chang Liu
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Yinan Zhang
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Fausto Rabitti
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Claudio Lucchese
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Salvatore Orlando
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Raffaele Perego
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Chang Liu
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Yinan Zhang
|
Fausto Rabitti
Proceeding of the 2008 ACM Workshop on Large-Scale Distributed Systems for Information Retrieval, LSDS-IR 2008, Napa Valley, California, USA, October 30, 2008