Listwise Recommendation on ML 1M (test)
2.092Avg. RewardOracle-GFN
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Oracle-GFN2025.05 | 2.092 | 2.93 | 113.7 | |
| TD-GFN2025.05 | 1.988 | 2.914 | 186.8 | |
| QM-COFlowNet2025.05 | 1.787 | 2.843 | 119.2 | |
| Dataset-GFN2025.05 | 1.681 | 2.674 | 7.9 |
| Method | Links | |||
|---|---|---|---|---|
| Oracle-GFN2025.05 | 2.092 | 2.93 | 113.7 | |
| TD-GFN2025.05 | 1.988 | 2.914 | 186.8 | |
| QM-COFlowNet2025.05 | 1.787 | 2.843 | 119.2 | |
| Dataset-GFN2025.05 | 1.681 | 2.674 | 7.9 |