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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| Outros Autores: | , , |
| Formato: | bookPart |
| Idioma: | eng |
| Publicado em: |
2020
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.22/16001 |
| País: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/16001 |