Research map / Multi-agent systems and games / Games and equilibria
Reinforcement Mechanism Design for Fraudulent Behaviour in e-Commerce
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use convolutional network instead of 3-layer fully connected network | seller fake-transaction predictor · two-class validation | accuracy: 0.5 -> 0.82 | Helped |
| include fake-transaction history in the input (vs blind) (ablation) | Conv/ResNet predictor · two-class validation | accuracy: 0.8 -> 0.82 | Helped |
| use ResNet instead of plain Conv | seller predictor · two-class validation | accuracy: 0.82 -> 0.82 | No clear effect |
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