A mini-approach for retail banking with transparent recommendation system enabled by explainable AI
Abstract This study investigates the role of Explainable AI (XAI) in improving the accuracy, efficiency, transparency, and trust in decision-making processes in personalized retail-banking recommendation systems. A thorough examination of machine learning models was conducted using a dataset from Ka...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Springer
2026-01-01
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| Seria: | Discover Artificial Intelligence |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1007/s44163-025-00817-5 |
| Etykiety: |
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