Research Article
Multi-channel Convolutional Neural Network Feature Extraction for Session Based Recommendation
Table 3
The performance of different datasets (
).
| Datasets | Yoochoose 1/4 (%) | Yoochoose 1/64 (%) | Diginetica (%) |
| Measures | P@K | MRR@K | P@K | MRR@K | P@K | MRR@K | NARM | 69.73 | 29.23 | 68.32 | 28.63 | 49.70 | 16.17 | STAMP | 70.44 | 30.00 | 68.74 | 29.67 | 45.64 | 14.32 | SR-GNN | 71.36 | 31.89 | 70.57 | 30.94 | 50.73 | 17.59 | RMMCNN | 72.93 | 35.04 | 70.94 | 31.46 | 51.82 | 18.19 |
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