Research Article
Graph Neural Network and Context-Aware Based User Behavior Prediction and Recommendation System Research
Table 2
CA-GNN and baseline performance comparison on Food and Yelp datasets.
| Model type | Model | Food | Yelp | RMSE | MAE | RMSE | MAE |
| Low-order | MF | 1.167 | 0.950 | 1.118 | 0.879 | CAMF-C | 1.121 | 0.900 | 1.110 | 0.869 | FM | 1.065 | 0.882 | 1.099 | 0.862 | AFM | 1.051 | 0.839 | 1.092 | 0.843 |
| High-order | COT | 1.055 | 0.828 | 1.004 | 0.835 | NFM | 1.013 | 0.806 | 1.003 | 0.824 | AIN | 0.998 | 0.791 | 0.997 | 0.812 | CA-GNN | 0.976 | 0.773 | 0.974 | 0.791 |
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