Research map / Learning theory and algorithms / Submodular and game algorithms
Selecting Sequences of Items via Submodular Maximization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| increase user-history length z from 1 to infinity (ablation) | OMEGA · MovieLens 1M | Prec@1: 0.36 -> 0.40 | Helped |
| increase user-history length z from 1 to infinity (ablation) | OMEGA · MovieLens 1M | Prec@5: 0.31 -> 0.35 | Helped |
| model dependencies between items (z>=2) instead of item frequencies only | OMEGA vs FREQ · MovieLens 1M | Prec@5: 0.25 -> 0.33 | Helped |
| use z=1 (last item only) instead of BG | OMEGA · MovieLens 1M | Prec@k: 0.36 vs 0.36 (k=1) | No clear effect |
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