Explicit intent enhanced contrastive learning with denoising networks for sequential recommendation
Abstract Sequential recommendation aims to accurately predict the users’ next preferences, where user interest is influenced by their intent. Utilizing intent contrastive learning, the sequential recommendation has achieved advanced performance. However, most contrastive learning models address the...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-03047-y |
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