Fairness and Explanations in Group Recommender Systems. Towards Trustworthiness and transparency

Informations projet

FIDELITY

N° de convention de subvention: 101106164

DOI

10.3030/101106164

Projet clôturé

Date de signature de la CE 17 Juillet 2023

Date de début 1 Mai 2024

Date de fin 30 Avril 2026

Financé au titre de

• Marie Skłodowska-Curie Actions (MSCA)

Coût total

Aucune donnée

Contribution de l’UE

€ 181 152,96

Coordonné par

UNIVERSIDAD DE JAEN
Spain

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Livrables

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The Plan describes the planned measures to maximise the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Publications

Conference proceedings (6)

Characterizing provider fairness in content-based e-service intelligent recommendation

Auteurs: Yera Toledo, Raciel; Dutta, Bapi; Martínez, Francisco J.; Martinez, Luis
Publié dans: 2025
Éditeur: Springer
DOI: 10.5281/ZENODO.16589286

A Novel Approach for Measuring Demographic Parity Fairness in Group Recommendation

Auteurs: R. Yera, M. J. Barranco, L. Martínez
Publié dans: Intelligent Management of Data and Information in Decision Making, 2024
Éditeur: WORLD SCIENTIFIC
DOI: 10.1142/9789811294631_0025

Post-hoc recommendation explanations in e-learning: An empirical study using fuzzy tools

Auteurs: Remadnia, Ouahiba; Yera, Raciel; Rodríguez, Rosa María; Faiz, Maazouzi
Publié dans: 2025
Éditeur: Springer
DOI: 10.5281/ZENODO.17819451

LORE4GroupRS: Explaining Group Recommendations Supported by a Local Rule-Based Approach

Auteurs: Raciel Yera, Luis Martínez
Publié dans: Lecture Notes in Computer Science, Intelligent Data Engineering and Automated Learning – IDEAL 2024, 2024
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-77738-7_25

GREX: A platform for supporting explanations in group recommender systems

Auteurs: Toledo, Mateus; Yera Toledo, Raciel; Barranco, Manuel José; Dutta, Bapi
Publié dans: 2025
Éditeur: Springer
DOI: 10.5281/ZENODO.17819669

With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations

Auteurs: Cedric Waterschoot, Raciel Yera Toledo, Nava Tintarev, Francesco Barile
Publié dans: Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025
Éditeur: ACM
DOI: 10.1145/3699682.3728345

Peer reviewed articles (1)

Group recommender systems for tourism: Current state and future directions

Auteurs: Raciel Yera, Edianny Carballo-Cruz, Juan Carlos Maroto-Martos
Publié dans: Intelligent Decision Technologies, Numéro 19, 2025, ISSN 1872-4981
Éditeur: SAGE Publications
DOI: 10.1177/18724981251335098

Book chapters (1)

Using Shapley Additive Explanations for supporting individual and group recommendation: survey and new perspectives

Auteurs: Yera Toledo, Raciel; Dutta, Bapi; Martínez, Luis
Publié dans: 2025
Éditeur: Springer
DOI: 10.5281/ZENODO.17819808