Raffaele Perego

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 120

Top Venues

Publications

Pranav Kasela, Gabriella Pasi, Raffaele Perego, Nicola Tonellotto
DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts. ECIR (2) (2024)
Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
Dimension Importance Estimation for Dense Information Retrieval. SIGIR (2024)
Pranav Kasela, Marco Braga, Gabriella Pasi, Raffaele Perego
SE-PQA: Personalized Community Question Answering. WWW (Companion Volume) (2024)
Maddalena Amendola, Andrea Passarella, Raffaele Perego
Leveraging Topic Specificity and Social Relationships for Expert Finding in Community Question Answering Platforms. CoRR (2024)
Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci
CAMEO: Fostering Joint Conversational Search and Recommendation. SEBD (2024)
Maddalena Amendola, Carlos Castillo, Andrea Passarella, Raffaele Perego
Understanding and Addressing Gender Bias in Expert Finding Task. CoRR (2024)
Maddalena Amendola, Andrea Passarella, Raffaele Perego
Towards Robust Expert Finding in Community Question Answering Platforms. ECIR (5) (2024)
Pranav Kasela, Gabriella Pasi, Raffaele Perego, Nicola Tonellotto
DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts. CoRR (2024)
Jacopo Cecchetti, Nicola Tonellotto, Raffaele Perego
Learning to Rank for Non Independent and Identically Distributed Datasets. ICTIR (2024)
Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Early Exit Strategies for Learning-to-Rank Cascades. IEEE Access 11 (2023)
Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto
A Geometric Framework for Query Performance Prediction in Conversational Search. SIGIR (2023)
Elnara Galimzhanova, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti
Rewriting Conversational Utterances with Instructed Large Language Models. WI/IAT (2023)
Nikolaos Koutroumanis, Christos Doulkeridis, Chiara Renso, Mirco Nanni, Raffaele Perego
TrajParquet: A Trajectory-Oriented Column File Format for Mobility Data Lakes. SIGSPATIAL/GIS (2023)
Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto
A Spatial Approach to Predict Performance of Conversational Search Systems. IIR (2023)
Pranav Kasela, Gabriella Pasi, Raffaele Perego
SE-PQA: Personalized Community Question Answering. CoRR (2023)
Guido Rocchietti, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego
Commonsense Injection in Conversational Systems: An Adaptable Framework for Query Expansion. WI/IAT (2023)
Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. CIKM (2023)
Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Alberto Veneri
GAM Forest Explanation. EDBT (2023)
Maddalena Amendola, Andrea Passarella, Raffaele Perego
Social search: Retrieving information in Online Social platforms - A survey. Online Soc. Networks Media 36 (2023)
Pranav Kasela, Gabriella Pasi, Raffaele Perego
SE-PEF: a Resource for Personalized Expert Finding. SIGIR-AP (2023)
Pranav Kasela, Gabriella Pasi, Raffaele Perego
SE-PEF: a Resource for Personalized Expert Finding. CoRR (2023)
Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. CoRR (2023)
Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
Can Embeddings Analysis Explain Large Language Model Ranking? CIKM (2023)
Veronica Gil-Costa, Fernando Loor, Romina Molina, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
Energy-Efficient Ranking on FPGAs through Ensemble Model Compression (Abstract). IIR (2022)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
ILMART: Interpretable Ranking with Constrained LambdaMART. CoRR (2022)
Maddalena Amendola, Andrea Passarella, Raffaele Perego
Social Search: retrieving information in Online Social Platforms - A Survey. CoRR (2022)
Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. SIGIR (2022)
Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
A Dependency-Aware Utterances Permutation Strategy to Improve Conversational Evaluation. ECIR (1) (2022)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Context Propagation in Conversational Search Utterances Participation of the CNR Team in CAsT 2022. TREC (2022)
Lorenzo Valerio, Franco Maria Nardini, Andrea Passarella, Raffaele Perego
Dynamic hard pruning of Neural Networks at the edge of the internet. J. Netw. Comput. Appl. 200 (2022)
Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract). IIR (2022)
Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
Improving Conversational Evaluation via a Dependency-Aware Permutation Strategy. SEBD (2022)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
Interpretable Ranking Using LambdaMART (Abstract). IIR (2022)
Ophir Frieder, Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Caching Historical Embeddings in Conversational Search. CoRR (2022)
Veronica Gil-Costa, Fernando Loor, Romina Molina, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
Ensemble Model Compression for Fast and Energy-Efficient Ranking on FPGAs. ECIR (1) (2022)
Emanuele Carlini, Thierry Chevalier, Patrizio Dazzi, Francesco Lettich, Raffaele Perego, Chiara Renso, Salvatore Trani
A Federated Cloud Solution for Transnational Mobility Data Sharing. SEBD (2022)
Ana Paula Ramos de Souza, Chiara Renso, Raffaele Perego, Vania Bogorny
MAT-Index: An index for fast multiple aspect trajectory similarity measuring. Trans. GIS 26 (2) (2022)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
ILMART: Interpretable Ranking with Constrained LambdaMART. SIGIR (2022)
Raffaele Perego, Giulio Ermanno Pibiri, Rossano Venturini
Compressed Indexes for Fast Search of Semantic Data (Extended Abstract). ICDE (2021)
Raffaele Perego, Giulio Ermanno Pibiri, Rossano Venturini
Compressed Indexes for Fast Search of Semantic Data. IEEE Trans. Knowl. Data Eng. 33 (9) (2021)
Emanuele Carlini, Patrizio Dazzi, Francesco Lettich, Raffaele Perego, Chiara Renso
Cloud and Data Federation in MobiDataLab. FRAME@HPDC (2021)
Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
Weighting Passages Enhances Accuracy. ACM Trans. Inf. Syst. 39 (2) (2021)
Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Learning Early Exit Strategies for Additive Ranking Ensembles. SIGIR (2021)
Raffaele Perego, Fabrizio Sebastiani
Report on the 43rd european conference on information retrieval (ECIR 2021). SIGIR Forum 55 (1) (2021)
Yuri Santa Rosa Nassar dos Santos, Rafael de Santiago, Raffaele Perego, Matheus Henrique Schaly, Luis Otávio Alvares, Chiara Renso, Vania Bogorny
A Co-occurrence Based Approach for Mining Overlapped Co-clusters in Binary Data. BRACIS (1) (2021)
Romina Molina, Fernando Loor, Veronica Gil-Costa, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
Efficient traversal of decision tree ensembles with FPGAs. J. Parallel Distributed Comput. 155 (2021)
Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
Hierarchical Dependence-aware Evaluation Measures for Conversational Search. SIGIR (2021)
Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Learning Early Exit Strategies for Additive Ranking Ensembles. CoRR (2021)
Regis Pires Magalhães, Francesco Lettich, José Antônio Fernandes de Macêdo, Franco Maria Nardini, Raffaele Perego, Chiara Renso, Roberto Trani
Speed prediction in large and dynamic traffic sensor networks. Inf. Syst. 98 (2021)
Iraklis Varlamis, Christos Sardianos, Vania Bogorny, Luis Otávio Alvares, Jônata Tyska Carvalho, Chiara Renso, Raffaele Perego, John Violos
A novel similarity measure for multiple aspect trajectory clustering. SAC (2021)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Finding Context through Utterance Dependencies in Search Conversations - Participation of the CNR Team in CAsT 2021. TREC (2021)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
Adaptive utterance rewriting for conversational search. Inf. Process. Manag. 58 (6) (2021)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
Topic Propagation in Conversational Search. SIGIR (2020)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Topical Enrichment of Conversational Search Utterances: Participation of the HPCLab-CNR Team in CAsT 2020. TREC (2020)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
Boosting learning to rank with user dynamics and continuation methods. Inf. Retr. J. 23 (6) (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. CoRR (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Training Curricula for Open Domain Answer Re-Ranking. CoRR (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Training Curricula for Open Domain Answer Re-Ranking. SIGIR (2020)
Lorenzo Valerio, Franco Maria Nardini, Andrea Passarella, Raffaele Perego
Dynamic Hard Pruning of Neural Networks at the Edge of the Internet. CoRR (2020)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Query-level Early Exit for Additive Learning-to-Rank Ensembles. SIGIR (2020)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Query-level Early Exit for Additive Learning-to-Rank Ensembles. CoRR (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. SIGIR (2020)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
Improving Learning to Rank By Leveraging User Dynamics and Continuation Methods. SEBD (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Expansion via Prediction of Importance with Contextualization. SIGIR (2020)
Ida Mele, Nicola Tonellotto, Ophir Frieder, Raffaele Perego
Topical result caching in web search engines. Inf. Process. Manag. 57 (3) (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Expansion via Prediction of Importance with Contextualization. CoRR (2020)
Djoerd Hiemstra, Marie-Francine Moens, Raffaele Perego, Fabrizio Sebastiani
Transitioning the information retrieval literature to a fully open access model. SIGIR Forum 54 (1) (2020)
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
Topic Propagation in Conversational Search. CoRR (2020)
Tales Matos, José A. F. de Macêdo, Francesco Lettich, José Maria Monteiro, Chiara Renso, Raffaele Perego, Franco Maria Nardini
Leveraging feature selection to detect potential tax fraudsters. Expert Syst. Appl. 145 (2020)
Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
RankEval: Evaluation and investigation of ranking models. SoftwareX 12 (2020)
Ida Mele, Nicola Tonellotto, Ophir Frieder, Raffaele Perego
Topical Result Caching in Web Search Engines. CoRR (2020)
Matteo Catena, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Enhanced News Retrieval: Passages Lead the Way! SIGIR (2019)
Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
Parallel Traversal of Large Ensembles of Decision Trees. IEEE Trans. Parallel Distributed Syst. 30 (9) (2019)
Vinicius Monteiro de Lira, Craig Macdonald, Iadh Ounis, Raffaele Perego, Chiara Renso, Valéria Cesário Times
Event attendance classification in social media. Inf. Process. Manag. 56 (3) (2019)
Raffaele Perego, Giulio Ermanno Pibiri, Rossano Venturini
Compressed Indexes for Fast Search of Semantic Data. CoRR (2019)
Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Roberto Trani, Rossano Venturini
Efficient and Effective Query Expansion for Web Search. CIKM (2018)
Salvatore Trani, Claudio Lucchese, Raffaele Perego, David E. Losada, Diego Ceccarelli, Salvatore Orlando
SEL: A unified algorithm for salient entity linking. Comput. Intell. 34 (1) (2018)
Marco Meoni, Raffaele Perego, Nicola Tonellotto
Dataset Popularity Prediction for Caching of CMS Big Data. J. Grid Comput. 16 (2) (2018)
Daniel Valcarce, Igo Ramalho Brilhante, José A. F. de Macêdo, Franco Maria Nardini, Raffaele Perego, Chiara Renso
Item-driven group formation. Online Soc. Networks Media 8 (2018)
Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph A. Konstan, Pablo Castells, Elizabeth M. Daly, Thierry Declerck, Michael D. Ekstrand, Werner Geyer, Julio Gonzalo, Tsvi Kuflik, Krister Lindén, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn C. Willemsen, Justin Zobel
The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction. SIGIR Forum 52 (1) (2018)
Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph A. Konstan, Pablo Castells, Elizabeth M. Daly, Thierry Declerck, Michael D. Ekstrand, Werner Geyer, Julio Gonzalo, Tsvi Kuflik, Krister Lindén, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn C. Willemsen, Justin Zobel
From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442). Dagstuhl Manifestos 7 (1) (2018)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani
X-CLEaVER: Learning Ranking Ensembles by Growing and Pruning Trees. ACM Trans. Intell. Syst. Technol. 9 (6) (2018)
Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani
Selective Gradient Boosting for Effective Learning to Rank. SIGIR (2018)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
Continuation Methods and Curriculum Learning for Learning to Rank. CIKM (2018)
Vinicius Monteiro de Lira, Raffaele Perego, Chiara Renso, Salvatore Rinzivillo, Valéria Cesário Times
Boosting Ride Sharing With Alternative Destinations. IEEE Trans. Intell. Transp. Syst. 19 (7) (2018)
Vinicius Monteiro de Lira, Craig Macdonald, Iadh Ounis, Raffaele Perego, Chiara Renso, Valéria Cesário Times
Exploring Social Media for Event Attendance. ASONAM (2017)
Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
The Impact of Negative Samples on Learning to Rank. LEARNER@ICTIR (2017)
Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso
Perception of social phenomena through the multidimensional analysis of online social networks. Online Soc. Networks Media 1 (2017)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
LEARning Next gEneration Rankers (LEARNER 2017). ICTIR (2017)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
QuickScorer: Efficient Traversal of Large Ensembles of Decision Trees. ECML/PKDD (3) (2017)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
On Including the User Dynamic in Learning to Rank. SIGIR (2017)
Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions. SIGIR (2017)
Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
Multicore/Manycore Parallel Traversal of Large Forests of Regression Trees. HPCS (2017)
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
X-DART: Blending Dropout and Pruning for Efficient Learning to Rank. SIGIR (2017)
Marco Meoni, Raffaele Perego, Nicola Tonellotto
Popularity-Based Caching of CMS Datasets. PARCO (2017)
Yuri Almeida Lacerda, Leandro Balby Marinho, Cláudio de Souza Baptista, Chiara Renso, Raffaele Perego
Exploiting photo location and direction for clustering-based points-of-interest discovery. SAC (2017)
Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego
Report on LEARNER 2017: 1st International Workshop on LEARning Next gEneration Rankers. SIGIR Forum 51 (3) (2017)
Giuseppe Amato, Paolo Bolettieri, Vinicius Monteiro de Lira, Cristina Ioana Muntean, Raffaele Perego, Chiara Renso
Social Media Image Recognition for Food Trend Analysis. SIGIR (2017)
Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
GPU-based Parallelization of QuickScorer to Speed-up Document Ranking with Tree Ensembles. IIR (2016)
Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso
Sentiment-enhanced multidimensional analysis of online social networks: Perception of the mediterranean refugees crisis. ASONAM (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Raffaele Perego