Collaborative filtering recommendation algorithm based on fine-grained mining and neighborhood awareness attention
Abstract This study introduces a collaborative filtering recommendation algorithm named CFR-FD, designed to tackle common challenges in traditional recommendation systems, particularly the cold start problem and data sparsity issue. By combining fine-grained mining with a neighborhood awareness atte...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-025-00414-6 |
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