Marco Ferrante

According to our database, Marco Ferrante authored at least 28 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CAMEO: Fostering Joint Conversational Search and Recommendation.

Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci

Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

The CAMEO Project: A Holistic View for Conversational Agents.

Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

2022

Response to Moffat's Comment on "Towards Meaningful Statements in IR Evaluation: Mapping Evaluation Measures to Interval Scales".

Marco Ferrante, Nicola Ferro, Norbert Fuhr

CoRR, 2022

Improving Conversational Evaluation via a Dependency-Aware Permutation Strategy.

Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

A Dependency-Aware Utterances Permutation Strategy to Improve Conversational Evaluation.

Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto

Proceedings of the Advances in Information Retrieval, 2022

2021

Towards Meaningful Statements in IR Evaluation: Mapping Evaluation Measures to Interval Scales.

Marco Ferrante, Nicola Ferro, Norbert Fuhr

IEEE Access, 2021

Hierarchical Dependence-aware Evaluation Measures for Conversational Search.

Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

s-AWARE: Using Crowd Judgements in Supervised Measure-Based Methods for IR Evaluation.

Marco Ferrante, Nicola Ferro, Luca Piazzon

Proceedings of the 17th Italian Research Conference on Digital Libraries, 2021

2020

How do interval scales help us with better understanding IR evaluation measures?

Marco Ferrante, Nicola Ferro, Eleonora Losiouk

Inf. Retr. J., 2020

Exploiting Stopping Time to Evaluate Accumulated Relevance.

Marco Ferrante, Nicola Ferro

Proceedings of the ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, 2020

s-AWARE: Supervised Measure-Based Methods for Crowd-Assessors Combination.

Marco Ferrante, Nicola Ferro, Luca Piazzon

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2020

2019

A General Theory of IR Evaluation Measures.

Marco Ferrante, Nicola Ferro, Silvia Pontarollo

IEEE Trans. Knowl. Data Eng., 2019

A Formal Theory to Determine Scale Properties of Evaluation Measures.

Marco Ferrante, Nicola Ferro, Silvia Pontarollo

Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

Scales of Evaluation Measures: From Theory to Experimentation.

Marco Ferrante, Nicola Ferro, Eleonora Losiouk, Silvia Pontarollo

Proceedings of the 10th Italian Information Retrieval Workshop, 2019

Stochastic Relevance for Crowdsourcing.

Marco Ferrante, Nicola Ferro, Eleonora Losiouk

Proceedings of the Advances in Information Retrieval, 2019

A Markovian Approach to Evaluate Session-Based IR Systems.

David van Dijk, Marco Ferrante, Nicola Ferro, Evangelos Kanoulas

Proceedings of the Advances in Information Retrieval, 2019

2018

How to Robustly Combine Judgements from Crowd Assessors with AWARE.

Marco Ferrante, Nicola Ferro, Maria Maistro

Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

Modelling Randomness in Relevance Judgments and Evaluation Measures.

Marco Ferrante, Nicola Ferro, Silvia Pontarollo

Proceedings of the Advances in Information Retrieval, 2018

2017

AWARE: Exploiting Evaluation Measures to Combine Multiple Assessors.

Marco Ferrante, Nicola Ferro, Maria Maistro

ACM Trans. Inf. Syst., 2017

An Interval-Like Scale Property for I. R. Evaluation Measures.

Marco Ferrante, Nicola Ferro, Silvia Pontarollo

Proceedings of the 8th International Workshop on Evaluating Information Access co-located with the 13th NTCIR Conference on the Evaluation of Information Access Technologies (NTCIR 2017), 2017

Are IR Evaluation Measures on an Interval Scale?

Marco Ferrante, Nicola Ferro, Silvia Pontarollo

Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017

You Surf so Strange Today: Anomaly Detection in Web Services via HMM and CTMC.

Maddalena Favaretto, Riccardo Spolaor, Mauro Conti, Marco Ferrante

Proceedings of the Green, Pervasive, and Cloud Computing - 12th International Conference, 2017

2016

Basis of a Formal Framework for Information Retrieval Evaluation Measurements.

Nicola Ferro, Marco Ferrante, Maria Maistro

Proceedings of the 7th Italian Information Retrieval Workshop, 2016

2015

No-Free-Lunch theorems in the continuum.

Aureli Alabert, Alessandro Berti, Ricard Caballero, Marco Ferrante

Theor. Comput. Sci., 2015

Markov Precision: Modelling User Behaviour over Rank and Time.

Marco Ferrante, Nicola Ferro, Maria Maistro

Proceedings of the 6th Italian Information Retrieval Workshop, 2015

Towards a Formal Framework for Utility-oriented Measurements of Retrieval Effectiveness.

Marco Ferrante, Nicola Ferro, Maria Maistro

Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015

2014

Injecting user models and time into precision via Markov chains.

Marco Ferrante, Nicola Ferro, Maria Maistro

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Rethinking How to Extend Average Precision to Graded Relevance.

Marco Ferrante, Nicola Ferro, Maria Maistro

Proceedings of the Information Access Evaluation. Multilinguality, Multimodality, and Interaction, 2014