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ORCIDRaffaele Perego 0001
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- affiliation: National Research Council, Italy
Other persons with the same name
- Raffaele Perego 0002 — University of Milano-Bicocca, Italy
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2020 – today
- 2024
[c172]Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Early Exit Strategies for Approximate k-NN Search in Dense Retrieval. CIKM 2024: 3647-3652- [c171]Pranav Kasela
, Gabriella Pasi, Raffaele Perego, Nicola Tonellotto:
DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts. ECIR (2) 2024: 111-125 - [c170]Maddalena Amendola, Andrea Passarella, Raffaele Perego:
Towards Robust Expert Finding in Community Question Answering Platforms. ECIR (5) 2024: 152-168 - [c169]Bruno Machado Agostinho, Stefano Chessa, Raffaele Perego, Mário Antônio Ribeiro Dantas, Alex Sandro Roschildt Pinto:
MQTT-Chain: An MQTT approach using blockchain and smart contracts to achieve a new Quality of Service level. FiCloud 2024: 316-323 - [c168]Jacopo Cecchetti, Nicola Tonellotto, Raffaele Perego:
Learning to Rank for Non Independent and Identically Distributed Datasets. ICTIR 2024: 71-79 - [c167]Guido Rocchietti, Cosimo Rulli, Korbinian Randl, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani, Manos Karvounis, Jakub Janostik:
LongDoc Summarization using Instruction-tuned Large Language Models for Food Safety Regulations. IIR 2024: 33-42 - [c166]Pranav Kasela, Marco Braga, Gabriella Pasi, Raffaele Perego:
SE-PQA: StackExchange Personalized Community Question Answering. IIR 2024: 99-102 - [c165]Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci:
The CAMEO Project: A Holistic View for Conversational Agents. IIR 2024: 107-110 - [c164]Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
Turning on a DIME: Estimating Dimension Importance for Dense Information Retrieval. IIR 2024: 115-118 - [c163]Marco Alessio, Guglielmo Faggioli, Nicola Ferro, Franco Maria Nardini, Raffaele Perego:
Improving RAG Systems via Sentence Clustering and Reordering. IR-RAG@SIGIR 2024: 34-43 - [c162]Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci:
CAMEO: Fostering Joint Conversational Search and Recommendation. SEBD 2024: 290-301 - [c161]Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
Dimension Importance Estimation for Dense Information Retrieval. SIGIR 2024: 1318-1328 - [c160]Pranav Kasela, Marco Braga, Gabriella Pasi, Raffaele Perego:
SE-PQA: Personalized Community Question Answering. WWW (Companion Volume) 2024: 1095-1098 - [i29]Pranav Kasela, Gabriella Pasi, Raffaele Perego, Nicola Tonellotto:
DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts. CoRR abs/2403.13468 (2024) - [i28]Maddalena Amendola, Andrea Passarella, Raffaele Perego:
Leveraging Topic Specificity and Social Relationships for Expert Finding in Community Question Answering Platforms. CoRR abs/2407.04018 (2024) - [i27]Maddalena Amendola, Carlos Castillo, Andrea Passarella, Raffaele Perego:
Understanding and Addressing Gender Bias in Expert Finding Task. CoRR abs/2407.05335 (2024) - [i26]Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Early Exit Strategies for Approximate k-NN Search in Dense Retrieval. CoRR abs/2408.04981 (2024) - [i25]Elnara Galimzhanova, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti:
Rewriting Conversational Utterances with Instructed Large Language Models. CoRR abs/2410.07797 (2024) - 2023
- [j52]Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Early Exit Strategies for Learning-to-Rank Cascades. IEEE Access 11: 126691-126704 (2023) - [j51]Maddalena Amendola, Andrea Passarella, Raffaele Perego:
Social search: Retrieving information in Online Social platforms - A survey. Online Soc. Networks Media 36: 100254 (2023) - [c159]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: 2013-2023 - [c158]Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
Can Embeddings Analysis Explain Large Language Model Ranking? CIKM 2023: 4150-4154 - [c157]Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
GAM Forest Explanation. EDBT 2023: 171-182 - [c156]Nikolaos Koutroumanis, Christos Doulkeridis, Chiara Renso, Mirco Nanni, Raffaele Perego:
TrajParquet: A Trajectory-Oriented Column File Format for Mobility Data Lakes. SIGSPATIAL/GIS 2023: 73:1-73:4 - [c155]Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto:
A Spatial Approach to Predict Performance of Conversational Search Systems. IIR 2023: 41-46 - [c154]Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto:
A Geometric Framework for Query Performance Prediction in Conversational Search. SIGIR 2023: 1355-1365 - [c153]Pranav Kasela, Gabriella Pasi, Raffaele Perego:
SE-PEF: a Resource for Personalized Expert Finding. SIGIR-AP 2023: 288-309 - [c152]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: 48-55 - [c151]Elnara Galimzhanova, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti:
Rewriting Conversational Utterances with Instructed Large Language Models. WI/IAT 2023: 56-63 - [d3]Pranav Kasela, Marco Braga, Gabriella Pasi, Raffaele Perego:
SE-PQA: a Resource for Personalized Community Question Answering. Version 2. Zenodo, 2023 [all versions]
- [d2]Pranav Kasela, Gabriella Pasi, Raffaele Perego:
SE-PEF: a Resource for Personalized Expert Finding. Zenodo, 2023 - [d1]Pranav Kasela, Gabriella Pasi, Raffaele Perego, Marco Braga:
SE-PQA: a Resource for Personalized Community Question Answering. Version 1. Zenodo, 2023 [all versions] - [i24]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 abs/2306.12165 (2023) - [i23]Pranav Kasela, Gabriella Pasi, Raffaele Perego:
SE-PQA: Personalized Community Question Answering. CoRR abs/2306.16261 (2023) - [i22]Pranav Kasela, Gabriella Pasi, Raffaele Perego:
SE-PEF: a Resource for Personalized Expert Finding. CoRR abs/2309.11686 (2023) - 2022
- [j50]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: 103330 (2022) - [j49]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): 691-716 (2022) - [c150]Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
A Dependency-Aware Utterances Permutation Strategy to Improve Conversational Evaluation. ECIR (1) 2022: 184-198 - [c149]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: 260-273 - [c148]Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract). IIR 2022 - [c147]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 - [c146]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
Interpretable Ranking Using LambdaMART (Abstract). IIR 2022 - [c145]Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
Improving Conversational Evaluation via a Dependency-Aware Permutation Strategy. SEBD 2022: 375-382 - [c144]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: 586-592 - [c143]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
ILMART: Interpretable Ranking with Constrained LambdaMART. SIGIR 2022: 2255-2259 - [c142]Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. SIGIR 2022: 3099-3107 - [c141]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 - [i21]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
ILMART: Interpretable Ranking with Constrained LambdaMART. CoRR abs/2206.00473 (2022) - [i20]Maddalena Amendola, Andrea Passarella, Raffaele Perego:
Social Search: retrieving information in Online Social Platforms - A Survey. CoRR abs/2209.14369 (2022) - [i19]Ophir Frieder, Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
Caching Historical Embeddings in Conversational Search. CoRR abs/2211.14155 (2022) - 2021
- [j48]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): 102682 (2021) - [j47]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: 101444 (2021) - [j46]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: 38-49 (2021) - [j45]Raffaele Perego, Fabrizio Sebastiani:
Report on the 43rd european conference on information retrieval (ECIR 2021). SIGIR Forum 55(1): 9:1-9:5 (2021) - [j44]Raffaele Perego, Giulio Ermanno Pibiri, Rossano Venturini:
Compressed Indexes for Fast Search of Semantic Data. IEEE Trans. Knowl. Data Eng. 33(9): 3187-3198 (2021) - [j43]Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder:
Weighting Passages Enhances Accuracy. ACM Trans. Inf. Syst. 39(2): 11:1-11:11 (2021) - [c140]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: 375-389 - [c139]Emanuele Carlini, Patrizio Dazzi, Francesco Lettich, Raffaele Perego, Chiara Renso:
Cloud and Data Federation in MobiDataLab. FRAME@HPDC 2021: 39-40 - [c138]Raffaele Perego, Giulio Ermanno Pibiri, Rossano Venturini:
Compressed Indexes for Fast Search of Semantic Data (Extended Abstract). ICDE 2021: 2325-2326 - [c137]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: 551-558 - [c136]Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
Hierarchical Dependence-aware Evaluation Measures for Conversational Search. SIGIR 2021: 1935-1939 - [c135]Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Learning Early Exit Strategies for Additive Ranking Ensembles. SIGIR 2021: 2217-2221 - [c134]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 - [e8]Djoerd Hiemstra, Marie-Francine Moens, Josiane Mothe, Raffaele Perego, Martin Potthast, Fabrizio Sebastiani:
Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12656, Springer 2021, ISBN 978-3-030-72112-1 [contents] - [e7]Djoerd Hiemstra, Marie-Francine Moens, Josiane Mothe, Raffaele Perego, Martin Potthast, Fabrizio Sebastiani:
Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12657, Springer 2021, ISBN 978-3-030-72239-5 [contents] - [i18]Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Learning Early Exit Strategies for Additive Ranking Ensembles. CoRR abs/2105.02568 (2021) - 2020
- [j42]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: 113128 (2020) - [j41]Ida Mele, Nicola Tonellotto, Ophir Frieder, Raffaele Perego:
Topical result caching in web search engines. Inf. Process. Manag. 57(3): 102193 (2020) - [j40]Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
Boosting learning to rank with user dynamics and continuation methods. Inf. Retr. J. 23(6): 528-554 (2020) - [j39]Djoerd Hiemstra, Marie-Francine Moens, Raffaele Perego, Fabrizio Sebastiani:
Transitioning the information retrieval literature to a fully open access model. SIGIR Forum 54(1): 13:1-13:10 (2020) - [j38]Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani:
RankEval: Evaluation and investigation of ranking models. SoftwareX 12: 100614 (2020) - [c133]Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
Improving Learning to Rank By Leveraging User Dynamics and Continuation Methods. SEBD 2020: 210-217 - [c132]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: 49-58 - [c131]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Training Curricula for Open Domain Answer Re-Ranking. SIGIR 2020: 529-538 - [c130]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Expansion via Prediction of Importance with Contextualization. SIGIR 2020: 1573-1576 - [c129]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Query-level Early Exit for Additive Learning-to-Rank Ensembles. SIGIR 2020: 2033-2036 - [c128]Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder:
Topic Propagation in Conversational Search. SIGIR 2020: 2057-2060 - [c127]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 - [i17]Ida Mele, Nicola Tonellotto, Ophir Frieder, Raffaele Perego:
Topical Result Caching in Web Search Engines. CoRR abs/2001.03010 (2020) - [i16]Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder:
Topic Propagation in Conversational Search. CoRR abs/2004.14054 (2020) - [i15]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Expansion via Prediction of Importance with Contextualization. CoRR abs/2004.14245 (2020) - [i14]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. CoRR abs/2004.14255 (2020) - [i13]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Training Curricula for Open Domain Answer Re-Ranking. CoRR abs/2004.14269 (2020) - [i12]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Query-level Early Exit for Additive Learning-to-Rank Ensembles. CoRR abs/2004.14641 (2020) - [i11]Lorenzo Valerio, Franco Maria Nardini, Andrea Passarella, Raffaele Perego:
Dynamic Hard Pruning of Neural Networks at the Edge of the Internet. CoRR abs/2011.08545 (2020)
2010 – 2019
- 2019
- [j37]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): 687-703 (2019) - [j36]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): 2075-2089 (2019) - [c126]Matteo Catena, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
Enhanced News Retrieval: Passages Lead the Way! SIGIR 2019: 1269-1272 - [i10]Raffaele Perego, Giulio Ermanno Pibiri, Rossano Venturini:
Compressed Indexes for Fast Search of Semantic Data. CoRR abs/1904.07619 (2019) - 2018
- [j35]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): 2-29 (2018) - [j34]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): 96-139 (2018) - [j33]Marco Meoni, Raffaele Perego, Nicola Tonellotto:
Dataset Popularity Prediction for Caching of CMS Big Data. J. Grid Comput. 16(2): 211-228 (2018) - [j32]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: 17-31 (2018) - [j31]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): 91-101 (2018) - [j30]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): 62:1-62:26 (2018) - [j29]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): 2290-2300 (2018) - [c125]Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
Continuation Methods and Curriculum Learning for Learning to Rank. CIKM 2018: 1523-1526 - [c124]Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Roberto Trani, Rossano Venturini:
Efficient and Effective Query Expansion for Web Search. CIKM 2018: 1551-1554 - [c123]Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani:
Selective Gradient Boosting for Effective Learning to Rank. SIGIR 2018: 155-164 - [p2]Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alessandra Raffaetà, Chiara Renso, Claudio Silvestri:
Analysing Trajectories of Mobile Users: From Data Warehouses to Recommender Systems. A Comprehensive Guide Through the Italian Database Research 2018: 407-421 - [r1]Igo Ramalho Brilhante, Franco Maria Nardini, José Antônio Fernandes de Macêdo, Raffaele Perego, Chiara Renso:
Crowdsourced Social Data for Recommending Tourist Itineraries. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [j28]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: 14-32 (2017) - [j27]Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
Report on LEARNER 2017: 1st International Workshop on LEARning Next gEneration Rankers. SIGIR Forum 51(3): 145-151 (2017) - [c122]Vinicius Monteiro de Lira, Craig Macdonald, Iadh Ounis, Raffaele Perego, Chiara Renso, Valéria Cesário Times:
Exploring Social Media for Event Attendance. ASONAM 2017: 447-450 - [c121]Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
LEARning Next gEneration Rankers (LEARNER 2017). ICTIR 2017: 331-332 - [c120]Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Trani:
The Impact of Negative Samples on Learning to Rank. LEARNER@ICTIR 2017 - [c119]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: 915 - [c118]Marco Meoni, Raffaele Perego, Nicola Tonellotto:
Popularity-Based Caching of CMS Datasets. PARCO 2017: 221-231 - [c117]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: 383-387 - [c116]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: 907-912 - [c115]Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
On Including the User Dynamic in Learning to Rank. SIGIR 2017: 1041-1044 - [c114]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
X-DART: Blending Dropout and Pruning for Efficient Learning to Rank. SIGIR 2017: 1077-1080 - [c113]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: 1281-1284 - [c112]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: 1333-1336 - [e6]Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
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. CEUR Workshop Proceedings 2007, CEUR-WS.org