Multi-Behavior Enhanced Heterogeneous Graph Convolutional Networks Recommendation Algorithm based on Feature-Interaction
Graph convolution neural networks have shown powerful ability in recommendation, thanks to extracting the user-item collaboration signal from users’ historical interaction information. However, many existing studies often learn the final embedded representation of items and users through IDs of user...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | http://dx.doi.org/10.1080/08839514.2023.2201144 |