Trust and reputation smart contracts for explainable recommendations

Recommendation systems are usually evaluated through accuracy and classification metrics. However, when these systems are supported by crowdsourced data, such metrics are unable to estimate data authenticity, leading to potential unreliability. Consequently, it is essential to ensure data authentici...

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Detalhes bibliográficos
Autor principal: Leal, Fátima (author)
Outros Autores: Veloso, Bruno (author), Malheiro, Benedita (author), González-Vélez, Horacio (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2022
Assuntos:
Texto completo:http://hdl.handle.net/11328/4050
País:Portugal
Oai:oai:repositorio.uportu.pt:11328/4050