HCLDR: Heterogeneous Graph Convolutional Networks with Contrastive Learning for Diversity Recommendation
Accuracy, now powering most of supporting users to achieve personalized recommendation in recommender systems, is one of the predominantly evaluation criteria. However, the diversity of the recommendation lists is limited and cannot meet the users’ more sophisticated search needs. Additionally, the...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
KeAi Communications Co., Ltd.
2025-01-01
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| Σειρά: | International Journal of Intelligent Networks |
| Θέματα: | |
| Διαθέσιμο Online: | http://www.sciencedirect.com/science/article/pii/S2666603025000259 |
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