Group recommendation fueled by noise-based graph contrastive learning
The ongoing advancement of social network platforms has increased the frequency of group activities. Due to the varied composition of group members, recommending items that align with the preferences of the entire group becomes a challenge. Existing group recommendations primarily deduce the final g...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-06-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157824001526 |