Contrastive learning of similarity meta-path clustering for multi-behavior recommendation
Abstract Data sparsity has long hindered the performance of recommender systems. Leveraging multi-behavior data has emerged as a key strategy to alleviate this challenge. However, existing multi-behavior RS models often fall short in effectively capturing the structural and semantic representations...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00121-3 |
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