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

Project Information

FIDELITY

Grant agreement ID: 101106164

DOI

10.3030/101106164

EC signature date 17 July 2023

Start date 1 May 2024

End date 30 April 2026

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 181 152,96

Coordinated by

UNIVERSIDAD DE JAEN
Spain

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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 (3)

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

Author(s): Yera Toledo, Raciel; Dutta, Bapi; Martínez, Francisco J.; Martinez, Luis
Published in: 2025
Publisher: Springer
DOI: 10.5281/ZENODO.16589286

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

Author(s): Remadnia, Ouahiba; Yera, Raciel; Rodríguez, Rosa María; Faiz, Maazouzi
Published in: 2025
Publisher: Springer
DOI: 10.5281/ZENODO.17819451

GREX: A platform for supporting explanations in group recommender systems

Author(s): Toledo, Mateus; Yera Toledo, Raciel; Barranco, Manuel José; Dutta, Bapi
Published in: 2025
Publisher: Springer
DOI: 10.5281/ZENODO.17819669

Book chapters (1)

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

Author(s): Yera Toledo, Raciel; Dutta, Bapi; Martínez, Luis
Published in: 2025
Publisher: Springer
DOI: 10.5281/ZENODO.17819808