HyBLRecs: a hybrid drug recommendation system integrating content analysis and reliability enhancement
Drug recommendation systems (DRS) play a crucial role in personalized medicine. Traditional Collaborative Filtering (CF) methods often face challenges with data sparsity and cold-start problems due to their reliance on drug/user identifiers (IDs). To address these limitations, we propose HyBLRecs, a...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Taylor & Francis Group
2026-07-01
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| Серія: | Journal of Information and Telecommunication |
| Предмети: | |
| Онлайн доступ: | https://www.tandfonline.com/doi/10.1080/24751839.2026.2690713 |
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