2022

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Report on the 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR 2022) at SIGIR 2022
Sebastian Bruch | Claudio Lucchese | Franco Maria Nardini
2022 Volume 56 Issue 2

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SOUR an Outliers Detection Algorithm in Learning to Rank (Abstract)
Federico Marcuzzi | Claudio Lucchese | Salvatore Orlando
Proceedings of the 12th Italian Information Retrieval Workshop 2022, Milan, Italy, June 29-30, 2022

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Interpretable Ranking Using LambdaMART (Abstract)
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Alberto Veneri
Proceedings of the 12th Italian Information Retrieval Workshop 2022, Milan, Italy, June 29-30, 2022

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Filtering out Outliers in Learning to Rank
Federico Marcuzzi | Claudio Lucchese | Salvatore Orlando
ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022

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ReNeuIR: Reaching Efficiency in Neural Information Retrieval
Sebastian Bruch | Claudio Lucchese | Franco Maria Nardini
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

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ILMART: Interpretable Ranking with Constrained LambdaMART
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Alberto Veneri
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

2021

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Learning Early Exit Strategies for Additive Ranking Ensembles
Francesco Busolin | Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | 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

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Boosting learning to rank with user dynamics and continuation methods
Nicola Ferro | Claudio Lucchese | Maria Maistro | Raffaele Perego
2020 Volume 23 Issue 6

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Query-level Early Exit for Additive Learning-to-Rank Ensembles
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | 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

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Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning
Claudio Lucchese | Franco Maria Nardini | Rama Kumar Pasumarthi | Sebastian Bruch | Michael Bendersky | Xuanhui Wang | Harrie Oosterhuis | Rolf Jagerman | 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

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Adversarial Training of Gradient-Boosted Decision Trees
Stefano Calzavara | Claudio Lucchese | Gabriele Tolomei
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019

2018

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X-CLEaVER: Learning Ranking Ensembles by Growing and Pruning Trees
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Fabrizio Silvestri | Salvatore Trani
2018 Volume 9 Issue 6

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Selective Gradient Boosting for Effective Learning to Rank
Claudio Lucchese | Franco Maria Nardini | Raffaele Perego | Salvatore Orlando | Salvatore Trani
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

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Efficient and Effective Query Expansion for Web Search
Claudio Lucchese | Franco Maria Nardini | Raffaele Perego | Roberto Trani | Rossano Venturini
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

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Continuation Methods and Curriculum Learning for Learning to Rank
Nicola Ferro | Claudio Lucchese | Maria Maistro | Raffaele Perego
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

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Do Violent People Smile: Social Media Analysis of their Profile Pictures
Mauro Coletto | Claudio Lucchese | Salvatore Orlando
Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018

2017

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Report on LEARNER 2017: 1st International Workshop on LEARning Next gEneration Rankers
Nicola Ferro | Claudio Lucchese | Maria Maistro | Raffaele Perego
2017 Volume 51 Issue 3

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The Impact of Negative Samples on Learning to Rank
Claudio Lucchese | Franco Maria Nardini | Raffaele Perego | Salvatore Trani
Proceedings of the 1st International Workshop on LEARning Next gEneration Rankers co-located with the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017), Amsterdam, The Netherlands, October 1, 2017

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Proceedings of the 1st International Workshop on LEARning Next gEneration Rankers co-located with the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017), Amsterdam, The Netherlands, October 1, 2017

Proceedings of the 1st International Workshop on LEARning Next gEneration Rankers co-located with the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017), Amsterdam, The Netherlands, October 1, 2017

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LEARning Next gEneration Rankers (LEARNER 2017)
Nicola Ferro | Claudio Lucchese | Maria Maistro | Raffaele Perego
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017

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Efficiency/Effectiveness Trade-offs in Learning to Rank
Claudio Lucchese | Franco Maria Nardini
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017

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RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions
Claudio Lucchese | Cristina Ioana Muntean | Franco Maria Nardini | Raffaele Perego | Salvatore Trani
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

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X-DART: Blending Dropout and Pruning for Efficient Learning to Rank
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Salvatore Trani
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

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On Including the User Dynamic in Learning to Rank
Nicola Ferro | Claudio Lucchese | Maria Maistro | Raffaele Perego
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

2016

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Fast Ranking with Additive Ensembles of Oblivious and Non-Oblivious Regression Trees
Domenico Dato | Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Nicola Tonellotto | Rossano Venturini
2016 Volume 35 Issue 2

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Quality versus efficiency in document scoring with learning-to-rank models
Gabriele Capannini | Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Nicola Tonellotto
2016 Volume 52 Issue 6

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Speeding-up Document Scoring with Tree Ensembles using CPU SIMD Extensions
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Nicola Tonellotto | Rossano Venturini
Proceedings of the 7th Italian Information Retrieval Workshop, Venezia, Italy, May 30-31, 2016

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Post-Learning Optimization of Tree Ensembles
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Fabrizio Silvestri | Salvatore Trani
Proceedings of the 7th Italian Information Retrieval Workshop, Venezia, Italy, May 30-31, 2016

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GPU-based Parallelization of QuickScorer to Speed-up Document Ranking with Tree Ensembles
Francesco Lettich | Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Nicola Tonellotto | Rossano Venturini
Proceedings of the 7th Italian Information Retrieval Workshop, Venezia, Italy, May 30-31, 2016

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Fast Feature Selection for Learning to Rank
Andrea Gigli | Claudio Lucchese | Franco Maria Nardini | 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

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Learning to Rank User Queries to Detect Search Tasks
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | 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

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Post-Learning Optimization of Tree Ensembles for Efficient Ranking
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Fabrizio Silvestri | 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

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Polarized User and Topic Tracking in Twitter
Mauro Coletto | Claudio Lucchese | Salvatore Orlando | 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

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Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Nicola Tonellotto | 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

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QuickRank: a C++ Suite of Learning to Rank Algorithms
Gabriele Capannini | Domenico Dato | Claudio Lucchese | Monica Mori | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Nicola Tonellotto
Proceedings of the 6th Italian Information Retrieval Workshop, Cagliari, Italy, May 25-26, 2015

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Electoral Predictions with Twitter: A Machine-Learning approach
Mauro Coletto | Claudio Lucchese | Salvatore Orlando | Raffaele Perego
Proceedings of the 6th Italian Information Retrieval Workshop, Cagliari, Italy, May 25-26, 2015

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Speeding up Document Ranking with Rank-based Features
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Nicola Tonellotto
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015

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QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Nicola Tonellotto | Rossano Venturini
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015

2014

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Manual Annotation of Semi-Structured Documents for Entity-Linking
Salvatore Trani | Diego Ceccarelli | Claudio Lucchese | Salvatore Orlando | 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

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Discovering tasks from search engine query logs
Claudio Lucchese | Salvatore Orlando | Raffaele Perego | Fabrizio Silvestri | Gabriele Tolomei
2013 Volume 31 Issue 3

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Dexter: an open source framework for entity linking
Diego Ceccarelli | Claudio Lucchese | Salvatore Orlando | Raffaele Perego | Salvatore Trani
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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Twitter anticipates bursts of requests for Wikipedia articles
Gabriele Tolomei | Salvatore Orlando | Diego Ceccarelli | 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

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On Suggesting Entities as Web Search Queries
Diego Ceccarelli | Sergiu Gordea | Claudio Lucchese | Franco Maria Nardini | Raffaele Perego
Proceedings of the 4th Italian Information Retrieval Workshop, Pisa, Italy, January 16-17, 2013

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Modeling and predicting the task-by-task behavior of search engine users
Claudio Lucchese | Salvatore Orlando | Raffaele Perego | Fabrizio Silvestri | Gabriele Tolomei
Open research Areas in Information Retrieval, OAIR 2013, Lisbon, Portugal, May 15-17, 2013

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Learning relatedness measures for entity linking
Diego Ceccarelli | Claudio Lucchese | Salvatore Orlando | Raffaele Perego | Salvatore Trani
22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013

2012

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Similarity caching in large-scale image retrieval
Fabrizio Falchi | Claudio Lucchese | Salvatore Orlando | Raffaele Perego | Fausto Rabitti
2012 Volume 48 Issue 5

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From chatter to headlines: harnessing the real-time web for personalized news recommendation
Gianmarco De Francisci Morales | Aristides Gionis | Claudio Lucchese
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, WSDM 2012, Seattle, WA, USA, February 8-12, 2012

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You should read this! let me explain you why: explaining news recommendations to users
Roi Blanco | Diego Ceccarelli | Claudio Lucchese | Raffaele Perego | Fabrizio Silvestri
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012

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How Random Walks Can Help Tourism
Claudio Lucchese | Raffaele Perego | Fabrizio Silvestri | Hossein Vahabi | Rossano Venturini
Advances in Information Retrieval - 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012. Proceedings

2011

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Identifying task-based sessions in search engine query logs
Claudio Lucchese | Salvatore Orlando | Raffaele Perego | Fabrizio Silvestri | Gabriele Tolomei
Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011

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LSDS-IR'11: the 9th workshop on large-scale and distributed systems for information retrieval
Claudio Lucchese | Berkant Barla Cambazoglu
Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011

2010

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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
2010 Volume 44 Issue 2

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Scaling Out All Pairs Similarity Search with MapReduce
Gianmarco De Francisci Morales | Claudio Lucchese | Ranieri Baraglia
Proceedings of the 8th Workshop on Large-Scale Distributed Systems for Information Retrieval, Geneva, Switzerland, July 23, 2010

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Proceedings of the 8th Workshop on Large-Scale Distributed Systems for Information Retrieval, Geneva, Switzerland, July 23, 2010

Proceedings of the 8th Workshop on Large-Scale Distributed Systems for Information Retrieval, Geneva, Switzerland, July 23, 2010

2009

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7th workshop on large-scale distributed systems for information retrieval (LSDS-IR'09)
Claudio Lucchese | Gleb Skobeltsyn | Wai Gen Yee
2009 Volume 43 Issue 2

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Proceedings of the 7th Workshop on Large-Scale Distributed Systems for Information Retrieval, co-located with ACM SIGIR 2009, LSDS-IR@SIGIR 2009, Boston, USA, July 23, 2009

Proceedings of the 7th Workshop on Large-Scale Distributed Systems for Information Retrieval, co-located with ACM SIGIR 2009, LSDS-IR@SIGIR 2009, Boston, USA, July 23, 2009

2008

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A metric cache for similarity search
Fabrizio Falchi | Claudio Lucchese | Salvatore Orlando | Raffaele Perego | 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

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