Research map / Learning theory and algorithms / Submodular and game algorithms
When Social Advertising Meets Viral Marketing: Sequencing Social Advertisements for Influence Maximization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use adaptive greedy sequencing (AG) instead of non-adaptive (NG) | social ad sequencing · Epinions/Slashdot/Pokec | expected revenue | Helped |
| increase alpha from 0 to 1 (more observed feedback) (ablation) | AG · Epinions/Slashdot/Pokec | expected revenue | Helped |
| increase ad space size from 1 to 10 (ablation) | NG · Epinions/Slashdot/Pokec | expected revenue | Helped |
Closest papers by meaning
- Motif-oriented influence maximization for viral marketing in large-scale social networks (NeurIPS 2024 · similarity 0.88)
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