Franco Maria Nardini

Orcid: 0000-0003-3183-334X

Affiliations:
  • ISTI-CNR, Pisa, Italy


According to our database1, Franco Maria Nardini authored at least 120 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors.
ACM Trans. Inf. Syst., March, 2024

Enhancing Conversational Search with Large Language Models.
ERCIM News, 2024

Efficient Multi-vector Dense Retrieval with Bit Vectors.
Proceedings of the Advances in Information Retrieval, 2024

2023
Report on the 13th Italian Information Retrieval Workshop (IIR 2023).
SIGIR Forum, December, 2023

An Optimal Algorithm for Finding Champions in Tournament Graphs.
IEEE Trans. Knowl. Data Eng., October, 2023

Distilled Neural Networks for Efficient Learning to Rank.
IEEE Trans. Knowl. Data Eng., May, 2023

Efficient and Effective Tree-based and Neural Learning to Rank.
Found. Trends Inf. Retr., 2023

Bridging Dense and Sparse Maximum Inner Product Search.
CoRR, 2023

Neural Network Compression using Binarization and Few Full-Precision Weights.
CoRR, 2023

Early Exit Strategies for Learning-to-Rank Cascades.
IEEE Access, 2023

Commonsense Injection in Conversational Systems: An Adaptable Framework for Query Expansion.
Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

Rewriting Conversational Utterances with Instructed Large Language Models.
Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Can Embeddings Analysis Explain Large Language Model Ranking?
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Report on the 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR 2022) at SIGIR 2022.
SIGIR Forum, December, 2022

Fast Filtering of Search Results Sorted by Attribute.
ACM Trans. Inf. Syst., 2022

Dynamic hard pruning of Neural Networks at the edge of the internet.
J. Netw. Comput. Appl., 2022

Caching Historical Embeddings in Conversational Search.
CoRR, 2022

Context Propagation in Conversational Search Utterances Participation of the CNR Team in CAsT 2022.
Proceedings of the Thirty-First Text REtrieval Conference, 2022

ILMART: Interpretable Ranking with Constrained LambdaMART.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ReNeuIR: Reaching Efficiency in Neural Information Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

A Pragmatic Approach to Neural Information Retrieval.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Interpretable Ranking Using LambdaMART (Abstract).
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Energy-Efficient Ranking on FPGAs through Ensemble Model Compression (Abstract).
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract).
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Ensemble Model Compression for Fast and Energy-Efficient Ranking on FPGAs.
Proceedings of the Advances in Information Retrieval, 2022

2021
Weighting Passages Enhances Accuracy.
ACM Trans. Inf. Syst., 2021

Efficient traversal of decision tree ensembles with FPGAs.
J. Parallel Distributed Comput., 2021

Neural network quantization in federated learning at the edge.
Inf. Sci., 2021

Speed prediction in large and dynamic traffic sensor networks.
Inf. Syst., 2021

Adaptive utterance rewriting for conversational search.
Inf. Process. Manag., 2021

Finding Context through Utterance Dependencies in Search Conversations - Participation of the CNR Team in CAsT 2021.
Proceedings of the Thirtieth Text REtrieval Conference, 2021

TSXor: A Simple Time Series Compression Algorithm.
Proceedings of the String Processing and Information Retrieval, 2021

Learning Early Exit Strategies for Additive Ranking Ensembles.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

RMkNN and KNORA-IU: Combining Imbalanced Dynamic Selection Techniques for Credit Scoring.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020
RankEval: Evaluation and investigation of ranking models.
SoftwareX, 2020

Leveraging feature selection to detect potential tax fraudsters.
Expert Syst. Appl., 2020

A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems.
Expert Syst. Appl., 2020

Topical Enrichment of Conversational Search Utterances: Participation of the HPCLab-CNR Team in CAsT 2020.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Topic Propagation in Conversational Search.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Expansion via Prediction of Importance with Contextualization.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Training Curricula for Open Domain Answer Re-Ranking.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Efficient Document Re-Ranking for Transformers by Precomputing Term Representations.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Query-level Early Exit for Additive Learning-to-Rank Ensembles.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks.
Proceedings of the ECML PKDD 2020 Workshops, 2020

Dynamic Wi-Fi RSSI normalization in unmapped locations.
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020

Predicting and Explaining Privacy Risk Exposure in Mobility Data.
Proceedings of the Discovery Science - 23rd International Conference, 2020

High-Quality Prediction of Tourist Movements using Temporal Trajectories in Graphs.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
Parallel Traversal of Large Ensembles of Decision Trees.
IEEE Trans. Parallel Distributed Syst., 2019

An Optimal Algorithm to Find Champions of Tournament Graphs.
Proceedings of the String Processing and Information Retrieval, 2019

Fast Approximate Filtering of Search Results Sorted by Attribute.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Enhanced News Retrieval: Passages Lead the Way!
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

On combining dynamic selection, sampling, and pool generators for credit scoring.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

KNORA-IU: Improving the Dynamic Selection Prediction in Imbalanced Credit Scoring Problems.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

An Empirical Comparison of Classification Algorithms for Imbalanced Credit Scoring Datasets.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Crowdsourced Social Data for Recommending Tourist Itineraries.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

X-CLEaVER: Learning Ranking Ensembles by Growing and Pruning Trees.
ACM Trans. Intell. Syst. Technol., 2018

Item-driven group formation.
Online Soc. Networks Media, 2018

Selective Gradient Boosting for Effective Learning to Rank.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Efficient and Effective Query Expansion for Web Search.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Analysing Trajectories of Mobile Users: From Data Warehouses to Recommender Systems.
Proceedings of the A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years., 2018

2017
Perception of social phenomena through the multidimensional analysis of online social networks.
Online Soc. Networks Media, 2017

X-DART: Blending Dropout and Pruning for Efficient Learning to Rank.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

QuickScorer: Efficient Traversal of Large Ensembles of Decision Trees.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Multicore/Manycore Parallel Traversal of Large Forests of Regression Trees.
Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

The Impact of Negative Samples on Learning to Rank.
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), 2017

Efficiency/Effectiveness Trade-offs in Learning to Rank.
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017

2016
Fast Ranking with Additive Ensembles of Oblivious and Non-Oblivious Regression Trees.
ACM Trans. Inf. Syst., 2016

Quality versus efficiency in document scoring with learning-to-rank models.
Inf. Process. Manag., 2016

Fast Traversal of Large Ensembles of Regression Trees.
ERCIM News, 2016

Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Post-Learning Optimization of Tree Ensembles for Efficient Ranking.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Ranking Documents Effciently with QuickScorer.
Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016

Group Finder: An Item-Driven Group Formation Framework.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

User-Item Group Formation with GroupFinder.
Proceedings of the 7th Italian Information Retrieval Workshop, 2016

Understanding Human Mobility During Events in Foursquare.
Proceedings of the 7th Italian Information Retrieval Workshop, 2016

Speeding-up Document Scoring with Tree Ensembles using CPU SIMD Extensions.
Proceedings of the 7th Italian Information Retrieval Workshop, 2016

Post-Learning Optimization of Tree Ensembles.
Proceedings of the 7th Italian Information Retrieval Workshop, 2016

GPU-based Parallelization of QuickScorer to Speed-up Document Ranking with Tree Ensembles.
Proceedings of the 7th Italian Information Retrieval Workshop, 2016

Learning to Rank User Queries to Detect Search Tasks.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Fast Feature Selection for Learning to Rank.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Sentiment-enhanced multidimensional analysis of online social networks: Perception of the mediterranean refugees crisis.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
On Learning Prediction Models for Tourists Paths.
ACM Trans. Intell. Syst. Technol., 2015

Planning sightseeing tours using crowdsensed trajectories.
ACM SIGSPATIAL Special, 2015

On planning sightseeing tours with TripBuilder.
Inf. Process. Manag., 2015

QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Speeding up Document Ranking with Rank-based Features.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

MUSETS: Diversity-Aware Web Query Suggestions for Shortening User Sessions.
Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

Gamification in Information Retrieval: State of the Art, Challenges and Opportunities.
Proceedings of the 6th Italian Information Retrieval Workshop, 2015

QuickRank: a C++ Suite of Learning to Rank Algorithms.
Proceedings of the 6th Italian Information Retrieval Workshop, 2015

Scaling up the Mining of Semantically-enriched Trajectories: TripBuilder at the World Level.
Proceedings of the 6th Italian Information Retrieval Workshop, 2015

2014
TripBuilder: A Tool for Recommending Sightseeing Tours.
Proceedings of the Advances in Information Retrieval, 2014

2013
Learning to shorten query sessions.
Proceedings of the 22nd International World Wide Web Conference, 2013

When entities meet query recommender systems: semantic search shortcuts.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

On Suggesting Entities as Web Search Queries.
Proceedings of the 4th Italian Information Retrieval Workshop, 2013

Where shall we go today?: planning touristic tours with tripbuilder.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

LearNext: learning to predict tourists movements.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Generating suggestions for queries in the long tail with an inverted index.
Inf. Process. Manag., 2012

RecTour: A Recommender System for Tourists.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012

Interactive and context-aware tag spell check and correction.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

A Trajectory-Based Recommender System for Tourism.
Proceedings of the Active Media Technology - 8th International Conference, 2012

2011
Query Log Mining to Enhance User Experience in Search Engines.
PhD thesis, 2011

Efficient Diversification of Web Search Results.
Proc. VLDB Endow., 2011

Discovering Europeana Users' Search Behavior.
ERCIM News, 2011

Efficient diversification of search results using query logs.
Proceedings of the 20th International Conference on World Wide Web, 2011

RGU-ISTI-Essex at TREC 2011 Session Track.
Proceedings of The Twentieth Text REtrieval Conference, 2011

Improving Europeana Search Experience Using Query Logs.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2011

2010
On Tag Spell Checking.
Proceedings of the String Processing and Information Retrieval, 2010

Incremental Algorithms for Effective and Efficient Query Recommendation.
Proceedings of the String Processing and Information Retrieval, 2010

The effects of time on query flow graph-based models for query suggestion.
Proceedings of the Recherche d'Information Assistée par Ordinateur, 2010

Resource discovery support for time-critical adaptive applications.
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, 2010

Refreshing Models to Provide Timely Query Recommendations.
Proceedings of the IIR 2010, 2010

2009
Sorting using BItonic netwoRk wIth CUDA.
Proceedings of the 7th Workshop on Large-Scale Distributed Systems for Information Retrieval, 2009

Aging effects on query flow graphs for query suggestion.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
SPRANKER: A Discovery Tool to Rank Service Providers Using Quality of Experience.
ERCIM News, 2008

Collaborative ranking of grid-enabled workflow service providers.
Proceedings of the 17th International Symposium on High-Performance Distributed Computing (HPDC-17 2008), 2008


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