Prioritising explainable AI-driven recommendations with knowledge graphs and reinforcement learning
Abstract Explainable Recommender Systems (XRSs) assist users in decision-making by offering precise and interpretable recommendations. However, most existing XRSs tend to prioritise either accuracy or explainability in isolation, with limited attention to aligning recommendations with individual use...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-08-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00173-5 |
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