ReGNN: A Repeat Aware Graph Neural Network for Session-Based Recommendations
Session-based recommendations have attracted significant attention because of their broad application scenarios. Recently, graph neural networks (GNNs) have been employed in session-based recommendation because of their superior performance in representation learning compared with recurrent neural n...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9099800/ |