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ORCIDNicola Tonellotto
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- affiliation: University of Pisa, Department of Information Engineering, Italy
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2020 – today
- 2023
[j19]Saira Bano
, Nicola Tonellotto, Pietro Cassarà, Alberto Gotta:
Artificial intelligence of things at the edge: Scalable and efficient distributed learning for massive scenarios. Comput. Commun. 205: 45-57 (2023)- [j18]Xiao Wang, Craig MacDonald, Nicola Tonellotto, Iadh Ounis:
ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval. ACM Trans. Web 17(1): 3:1-3:39 (2023) - [c94]Antonio Acquavia, Craig Macdonald, Nicola Tonellotto:
Static Pruning for Multi-Representation Dense Retrieval. DocEng 2023: 7:1-7:10 - [c93]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 - [c92]Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri:
Integrating Item Relevance in Training Loss for Sequential Recommender Systems. RecSys 2023: 1114-1119 - [c91]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 - [c90]Carlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto:
A Static Pruning Study on Sparse Neural Retrievers. SIGIR 2023: 1771-1775 - [c89]Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. SIGIR 2023: 2552-2561 - [c88]Saira Bano, Pietro Cassarà, Nicola Tonellotto, Alberto Gotta:
A Federated Channel Modeling System using Generative Neural Networks. VTC2023-Spring 2023: 1-5 - [e3]Franco Maria Nardini, Nicola Tonellotto, Guglielmo Faggioli, Antonio Ferrara:
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), Pisa, Italy, June 8-9, 2023. CEUR Workshop Proceedings 3448, CEUR-WS.org 2023 [contents] - [i21]Carlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto:
A Static Pruning Study on Sparse Neural Retrievers. CoRR abs/2304.12702 (2023) - [i20]Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri:
Integrating Item Relevance in Training Loss for Sequential Recommender Systems. CoRR abs/2305.10824 (2023) - [i19]Saira Bano, Pietro Cassarà, Nicola Tonellotto, Alberto Gotta:
A Federated Channel Modeling System using Generative Neural Networks. CoRR abs/2305.18856 (2023) - [i18]Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini:
RRAML: Reinforced Retrieval Augmented Machine Learning. CoRR abs/2307.12798 (2023) - 2022
- [j17]Luca Cassano, Antonio Miele, Francesco Mione, Nicola Tonellotto, Carlo Vallati:
Design of Fault-Tolerant Distributed Cyber-Physical Systems for Smart Environments. IEEE Embed. Syst. Lett. 14(2): 79-82 (2022) - [c87]Sean MacAvaney, Nicola Tonellotto, Craig Macdonald:
Adaptive Re-Ranking with a Corpus Graph. CIKM 2022: 1491-1500 - [c86]Sean MacAvaney, Nicola Tonellotto, Craig Macdonald:
Adaptive Re-Ranking as an Information-Seeking Agent. CIKM Workshops 2022 - [c85]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 - [c84]Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract). IIR 2022 - [c83]Nicola Tonellotto:
Pseudo-Relevance Feedback in the Era of Dense Retrieval. IIR 2022 - [c82]Saira Bano, Nicola Tonellotto, Alberto Gotta:
Drivers Stress Identification in Real-World Driving Tasks. PerCom Workshops 2022: 140-141 - [c81]Saira Bano, Nicola Tonellotto, Pietro Cassarà, Alberto Gotta:
KafkaFed: Two-Tier Federated Learning Communication Architecture for Internet of Vehicles. PerCom Workshops 2022: 515-520 - [c80]Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
Improving Conversational Evaluation via a Dependency-Aware Permutation Strategy. SEBD 2022: 375-382 - [c79]Artsiom Sauchuk, James Thorne, Alon Y. Halevy, Nicola Tonellotto, Fabrizio Silvestri:
On the Role of Relevance in Natural Language Processing Tasks. SIGIR 2022: 1785-1789 - [c78]Antonio Mallia, Joel Mackenzie, Torsten Suel, Nicola Tonellotto:
Faster Learned Sparse Retrieval with Guided Traversal. SIGIR 2022: 1901-1905 - [c77]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 - [c76]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 - [c75]Saira Bano, Nicola Tonellotto, Pietro Cassarà, Alberto Gotta:
FedTCS: Federated Learning with Time-based Client Selection to Optimize Edge Resources. AI6G@WCCI 2022 - [c74]Simone Pampaloni, Nicola Tonellotto, Carlo Vallati:
Latency-Energy Tradeoffs in Federated Learning on Resource Constrained Edge Computing Systems. AI6G@WCCI 2022 - [i17]Antonio Mallia, Joel Mackenzie, Torsten Suel, Nicola Tonellotto:
Faster Learned Sparse Retrieval with Guided Traversal. CoRR abs/2204.11314 (2022) - [i16]Nicola Tonellotto:
Lecture Notes on Neural Information Retrieval. CoRR abs/2207.13443 (2022) - [i15]Sean MacAvaney, Nicola Tonellotto, Craig Macdonald:
Adaptive Re-Ranking with a Corpus Graph. CoRR abs/2208.08942 (2022) - [i14]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
- [j16]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) - [j15]Nicola Tonellotto, Alberto Gotta, Franco Maria Nardini, Daniele Gadler, Fabrizio Silvestri:
Neural network quantization in federated learning at the edge. Inf. Sci. 575: 417-436 (2021) - [j14]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) - [c73]Craig Macdonald, Nicola Tonellotto:
On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. CIKM 2021: 3318-3322 - [c72]Nicola Tonellotto, Craig Macdonald:
Query Embedding Pruning for Dense Retrieval. CIKM 2021: 3453-3457 - [c71]Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, Iadh Ounis:
PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. CIKM 2021: 4526-4533 - [c70]Craig Macdonald, Nicola Tonellotto, Sean MacAvaney:
IR From Bag-of-words to BERT and Beyond through Practical Experiments. CIKM 2021: 4861 - [c69]Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. ICTIR 2021: 297-306 - [c68]Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
On Single and Multiple Representations in Dense Passage Retrieval. IIR 2021 - [c67]Antonio Mallia, Omar Khattab, Torsten Suel, Nicola Tonellotto:
Learning Passage Impacts for Inverted Indexes. SIGIR 2021: 1723-1727 - [c66]Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
Hierarchical Dependence-aware Evaluation Measures for Conversational Search. SIGIR 2021: 1935-1939 - [c65]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 - [i13]Antonio Mallia, Omar Khattab, Nicola Tonellotto, Torsten Suel:
Learning Passage Impacts for Inverted Indexes. CoRR abs/2104.12016 (2021) - [i12]Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. CoRR abs/2106.11251 (2021) - [i11]Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
On Single and Multiple Representations in Dense Passage Retrieval. CoRR abs/2108.06279 (2021) - [i10]Nicola Tonellotto, Craig Macdonald:
Query Embedding Pruning for Dense Retrieval. CoRR abs/2108.10341 (2021) - [i9]Craig Macdonald, Nicola Tonellotto:
On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. CoRR abs/2108.11480 (2021) - 2020
- [j13]Ida Mele, Nicola Tonellotto, Ophir Frieder, Raffaele Perego:
Topical result caching in web search engines. Inf. Process. Manag. 57(3): 102193 (2020) - [j12]Nicola Tonellotto, Craig Macdonald:
Using an Inverted Index Synopsis for Query Latency and Performance Prediction. ACM Trans. Inf. Syst. 38(3): 29:1-29:33 (2020) - [c64]Antonio Cisternino, Pietro Ducange, Nicola Tonellotto, Carlo Vallati:
Leveraging Cloud Infrastructures for Teaching Advanced Computer Engineering Classes - Experiences at the University of Pisa. HELMeTO 2020: 256-270 - [c63]Craig Macdonald, Nicola Tonellotto:
Declarative Experimentation in Information Retrieval using PyTerrier. ICTIR 2020: 161-168 - [c62]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 - [c61]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 - [c60]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Expansion via Prediction of Importance with Contextualization. SIGIR 2020: 1573-1576 - [c59]Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder:
Topic Propagation in Conversational Search. SIGIR 2020: 2057-2060 - [c58]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 - [i8]Ida Mele, Nicola Tonellotto, Ophir Frieder, Raffaele Perego:
Topical Result Caching in Web Search Engines. CoRR abs/2001.03010 (2020) - [i7]Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder:
Topic Propagation in Conversational Search. CoRR abs/2004.14054 (2020) - [i6]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) - [i5]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) - [i4]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) - [i3]Craig Macdonald, Nicola Tonellotto:
Declarative Experimentation in Information Retrieval using PyTerrier. CoRR abs/2007.14271 (2020) - [i2]Michele Martelli, Pietro Cassarà, Antonio Virdis, Nicola Tonellotto:
The Internet of Ships. ERCIM News 2020(123) (2020)
2010 – 2019
- 2019
- [j11]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) - [c57]Matteo Catena, Nicola Tonellotto:
Multiple Query Processing via Logic Function Factoring. SIGIR 2019: 937-940 - [c56]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 - 2018
- [j10]Nicola Tonellotto, Craig Macdonald, Iadh Ounis:
Efficient Query Processing for Scalable Web Search. Found. Trends Inf. Retr. 12(4-5): 319-500 (2018) - [j9]Marco Meoni, Raffaele Perego, Nicola Tonellotto:
Dataset Popularity Prediction for Caching of CMS Big Data. J. Grid Comput. 16(2): 211-228 (2018) - [c55]Matteo Catena, Ophir Frieder, Nicola Tonellotto:
Efficient Energy Management in Distributed Web Search. CIKM 2018: 1555-1558 - [c54]Manlio Bacco, Matteo Catena, Tomaso de Cola, Alberto Gotta, Nicola Tonellotto:
Performance Analysis of WebRTC-Based Video Streaming Over Power Constrained Platforms. GLOBECOM 2018: 1-7 - [c53]Nicola Tonellotto, Craig Macdonald:
Efficient Query Processing Infrastructures: A half-day tutorial at SIGIR 2018. SIGIR 2018: 1403-1406 - [e2]Nicola Tonellotto, Luca Becchetti, Marko Tkalcic:
Proceedings of the 9th Italian Information Retrieval Workshop, Rome, Italy, May, 28-30, 2018. CEUR Workshop Proceedings 2140, CEUR-WS.org 2018 [contents] - 2017
- [j8]Matteo Catena, Nicola Tonellotto:
Energy-Efficient Query Processing in Web Search Engines. IEEE Trans. Knowl. Data Eng. 29(7): 1412-1425 (2017) - [c52]Craig Macdonald, Nicola Tonellotto:
Upper Bound Approximation for BlockMaxWand. ICTIR 2017: 273-276 - [c51]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 - [c50]Matteo Catena, Nicola Tonellotto:
Recent Advances in Energy Efficient Query Processing. IIR 2017: 125-128 - [c49]Marco Meoni, Raffaele Perego, Nicola Tonellotto:
Popularity-Based Caching of CMS Datasets. PARCO 2017: 221-231 - [c48]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 - [c47]Craig MacDonald, Nicola Tonellotto, Iadh Ounis:
Efficient & Effective Selective Query Rewriting with Efficiency Predictions. SIGIR 2017: 495-504 - [c46]Antonio Mallia, Giuseppe Ottaviano, Elia Porciani, Nicola Tonellotto, Rossano Venturini:
Faster BlockMax WAND with Variable-sized Blocks. SIGIR 2017: 625-634 - 2016
- [j7]Gabriele Capannini, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto:
Quality versus efficiency in document scoring with learning-to-rank models. Inf. Process. Manag. 52(6): 1161-1177 (2016) - [j6]Domenico Dato, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Fast Ranking with Additive Ensembles of Oblivious and Non-Oblivious Regression Trees. ACM Trans. Inf. Syst. 35(2): 15:1-15:31 (2016) - [c45]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 - [c44]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Speeding-up Document Scoring with Tree Ensembles using CPU SIMD Extensions. IIR 2016 - [c43]Domenico Dato, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Ranking Documents Effciently with QuickScorer. SEBD 2016: 166-173 - [c42]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles. SIGIR 2016: 833-836 - [c41]Roi Blanco, Matteo Catena, Nicola Tonellotto:
Exploiting Green Energy to Reduce the Operational Costs of Multi-Center Web Search Engines. WWW 2016: 1237-1247 - [i1]Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Salvatore Orlando, Rossano Venturini:
Fast Traversal of Large Ensembles of Regression Trees. ERCIM News 2016(107) (2016) - 2015
- [j5]Alberto De Francesco, Claudia Di Napoli, Maurizio Giordano, Giuseppe Ottaviano, Raffaele Perego, Nicola Tonellotto:
MIDAS: a cloud platform for SOA testing as a service. Int. J. High Perform. Comput. Netw. 8(3): 285-300 (2015) - [j4]Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda:
Queuing Theory-based Latency/Power Tradeoff Models for Replicated Search Engines. J. Univers. Comput. Sci. 21(13): 1790-1809 (2015) - [c40]Ismail Sengor Altingovde, Berkant Barla Cambazoglu, Nicola Tonellotto:
LSDS-IR'15: 2015 Workshop on Large-Scale and Distributed Systems for Information Retrieval. CIKM 2015: 1947-1948 - [c39]Steffen Herbold, Alberto De Francesco, Jens Grabowski, Patrick Harms, Lom-Messan Hillah, Fabrice Kordon, Ariele-Paolo Maesano, Libero Maesano, Claudia Di Napoli, Fabio De Rosa, Martin A. Schneider, Nicola Tonellotto, Marc-Florian Wendland, Pierre-Henri Wuillemin:
The MIDAS Cloud Platform for Testing SOA Applications. ICST 2015: 1-8 - [c38]Gabriele Capannini, Domenico Dato, Claudio Lucchese, Monica Mori, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto:
QuickRank: a C++ Suite of Learning to Rank Algorithms. IIR 2015 - [c37]Matteo Catena, Nicola Tonellotto:
A Study on Query Energy Consumption in Web Search Engines. IIR 2015 - [c36]Diego Ceccarelli, Alberto De Francesco, Raffaele Perego, Marco Segala, Nicola Tonellotto, Salvatore Trani:
Entity Linking on Philosophical Documents. IIR 2015 - [c35]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees. SIGIR 2015: 73-82 - [c34]Matteo Catena, Craig Macdonald, Nicola Tonellotto:
Load-sensitive CPU Power Management for Web Search Engines. SIGIR 2015: 751-754 - [c33]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto:
Speeding up Document Ranking with Rank-based Features. SIGIR 2015: 895-898 - [c32]Giuseppe Ottaviano, Nicola Tonellotto, Rossano Venturini:
Optimal Space-time Tradeoffs for Inverted Indexes. WSDM 2015: 47-56 - [e1]Ismail Sengor Altingovde, Berkant Barla Cambazoglu, Nicola Tonellotto:
Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval, LSDS-IR 2015, Melbourne, Australia, October 23, 2015. ACM 2015, ISBN 978-1-4503-3781-6 [contents] - 2014
- [c31]Alberto De Francesco, Claudia Di Napoli, Maurizio Giordano, Giuseppe Ottaviano, Raffaele Perego, Nicola Tonellotto:
A SOA Testing Platform on the Cloud: The MIDAS Experience. INCoS 2014: 659-664 - [c30]Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda:
A self-adapting latency/power tradeoff model for replicated search engines. WSDM 2014: 13-22 - [c29]Ismail Sengör Altingövde, Berkant Barla Cambazoglu, Craig Macdonald, Nicola Tonellotto:
Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2014). WSDM 2014: 691-692 - 2013
- [c28]Daniele Broccolo, Craig Macdonald, Salvatore Orlando, Iadh Ounis, Raffaele Perego, Fabrizio Silvestri, Nicola Tonellotto:
Load-sensitive selective pruning for distributed search. CIKM 2013: 379-388 - [c27]Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda:
Hybrid Query Scheduling for a Replicated Search Engine. ECIR 2013: 435-446 - [c26]Andrea Cardaci, Luca Caviglione, Alberto Gotta, Nicola Tonellotto:
Performance Evaluation of SPDY over High Latency Satellite Channels. PSATS 2013: 123-134 - [c25]Daniele Broccolo, Craig Macdonald, Salvatore Orlando, Iadh Ounis, Raffaele Perego, Fabrizio Silvestri, Nicola Tonellotto:
Query Processing in Highly-Loaded Search Engines. SPIRE 2013: 49-55 - [c24]Nicola Tonellotto, Craig Macdonald, Iadh Ounis:
Efficient and effective retrieval using selective pruning. WSDM 2013: 63-72 - [c23]Nicola Tonellotto, Craig Macdonald, Ismail Sengör Altingövde:
Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2013). WSDM 2013: 791-792 - 2012
- [c22]Alberto Gotta, Nicola Tonellotto, Emnet T. Abdo:
On Cloud-Based Multisource Reliable Multicast Transport in Broadband Multimedia Satellite Networks. PSATS 2012: 156-163 - [c21]Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
Learning to predict response times for online query scheduling. SIGIR 2012: 621-630 - [c20]Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
Effect of dynamic pruning safety on learning to rank effectiveness. SIGIR 2012: 1051-1052 - [c19]Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda:
Scheduling queries across replicas. SIGIR 2012: 1139-1140 - 2011
- [j3]Craig Macdonald, Iadh Ounis, Nicola Tonellotto:
Upper-bound approximations for dynamic pruning. ACM Trans. Inf. Syst. 29(4): 17:1-17:28 (2011) - [c18]Raffaele Perego, Fabrizio Silvestri, Nicola Tonellotto:
Representing Document Lengths with Identifiers. ECIR 2011: 665-669 - [c17]Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
On Upper Bounds for Dynamic Pruning. ICTIR 2011: 313-317 - [c16]Nicola Tonellotto, Craig Macdonald, Iadh Ounis:
Effect of different docid orderings on dynamic pruning retrieval strategies. SIGIR 2011: 1179-1180 - 2010
- [j2]Marco Danelutto, Domenico Laforenza, Nicola Tonellotto, Marco Vanneschi, Corrado Zoccolo:
Modeling Stream Communications in Component-based Applications. Scalable Comput. Pract. Exp. 11(3) (2010) - [c15]