Assortment Optimization on Synthetic Assortment Data (N_test=500, Ntrain=20) (test)
96.1Average RatioGCN-based Integer Programming (GIP)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GCN-based Integer Programming (GIP)Strans=20,000, Ntrain=20, Choice Model setting=unknown-choice-model, Ntest=5002025.07 | 96.1 | 2.56 | |
| GCN-based Index with Local Search (GILS)Strans=20,000, Ntrain=20, Choice Model setting=unknown-choice-model, Ntest=5002025.07 | 95.1 | 8.22 | |
| GCN-based Index (GI)Strans=20,000, Ntrain=20, Choice Model setting=unknown-choice-model, Ntest=5002025.07 | 91.6 | 0.06 | |
| ROLSStrans=20,000, Ntrain=20, Choice Model setting=unknown-choice-model, Ntest=5002025.07 | 89.9 | 30.05 | |
| LSStrans=20,000, Ntrain=20, Choice Model setting=unknown-choice-model, Ntest=5002025.07 | 77.3 | 14.85 | |
| RPStrans=20,000, Ntrain=20, Choice Model setting=unknown-choice-model, Ntest=5002025.07 | 64.1 | 2.52 | |
| ROStrans=20,000, Ntrain=20, Choice Model setting=unknown-choice-model, Ntest=5002025.07 | 13 | 0.04 |