Listar por autor "Paz Ruza, Jorge"
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Personalization in Recommender Systems through Explainable Machine Learning
Paz Ruza, Jorge (2021)[Abstract]: Recommender Systems have become ubiquitously utilized tools in multiple fields such as media streaming services, travelling and tourism business, e-commerce, and numerous others. However, in practice they ... -
Sustainable personalisation and explainability in Dyadic Data Systems
Paz Ruza, Jorge; Eiras-Franco, Carlos; Guijarro-Berdiñas, Bertha; Alonso-Betanzos, Amparo (2022)[Abstract]: Systems that rely on dyadic data, which relate entities of two types together, have become ubiquitously used in fields such as media services, tourism business, e-commerce, and others. However, these systems ... -
Sustainable transparency on recommender systems: Bayesian ranking of images for explainability
Paz Ruza, Jorge; Alonso-Betanzos, Amparo; Guijarro-Berdiñas, Bertha; Cancela, Brais; Eiras-Franco, Carlos (Elsevier B.V., 2024-11)[Abstract]: Recommender Systems have become crucial in the modern world, commonly guiding users towards relevant content or products, and having a large influence over the decisions of users and citizens. However, ensuring ...