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

Informazioni relative al progetto

FIDELITY

ID dell’accordo di sovvenzione: 101106164

DOI

10.3030/101106164

Progetto chiuso

Data della firma CE 17 Luglio 2023

Data di avvio 1 Maggio 2024

Data di completamento 30 Aprile 2026

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 181 152,96

Coordinato da

UNIVERSIDAD DE JAEN
Spain

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I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Conference proceedings (6)

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

Autori: Yera Toledo, Raciel; Dutta, Bapi; Martínez, Francisco J.; Martinez, Luis
Pubblicato in: 2025
Editore: Springer
DOI: 10.5281/ZENODO.16589286

A Novel Approach for Measuring Demographic Parity Fairness in Group Recommendation

Autori: R. Yera, M. J. Barranco, L. Martínez
Pubblicato in: Intelligent Management of Data and Information in Decision Making, 2024
Editore: WORLD SCIENTIFIC
DOI: 10.1142/9789811294631_0025

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

Autori: Remadnia, Ouahiba; Yera, Raciel; Rodríguez, Rosa María; Faiz, Maazouzi
Pubblicato in: 2025
Editore: Springer
DOI: 10.5281/ZENODO.17819451

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

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

GREX: A platform for supporting explanations in group recommender systems

Autori: Toledo, Mateus; Yera Toledo, Raciel; Barranco, Manuel José; Dutta, Bapi
Pubblicato in: 2025
Editore: Springer
DOI: 10.5281/ZENODO.17819669

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

Autori: Cedric Waterschoot, Raciel Yera Toledo, Nava Tintarev, Francesco Barile
Pubblicato in: Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025
Editore: ACM
DOI: 10.1145/3699682.3728345

Peer reviewed articles (1)

Group recommender systems for tourism: Current state and future directions

Autori: Raciel Yera, Edianny Carballo-Cruz, Juan Carlos Maroto-Martos
Pubblicato in: Intelligent Decision Technologies, Numero 19, 2025, ISSN 1872-4981
Editore: SAGE Publications
DOI: 10.1177/18724981251335098

Book chapters (1)

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

Autori: Yera Toledo, Raciel; Dutta, Bapi; Martínez, Luis
Pubblicato in: 2025
Editore: Springer
DOI: 10.5281/ZENODO.17819808