Research map / Bandits and online learning / Online convex optimization and games
Additional Multi-Touch Attribution for Online Advertising
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| model additive hazard-rate influence of ads with user intrinsic conversion rate and delay (AMTA) versus baselines | AMTA · Miaozhen conversion prediction (7, 15, 30 days) | AUC | Helped |
| AMTA versus PMTA on conversion prediction | AMTA · Miaozhen conversion prediction | AUC | Helped |
| include users' intrinsic conversion rate (AMTA, PMTA) versus AdditiveHazard without it (ablation) | attribution models · Miaozhen conversion prediction | AUC | Helped |
| shorten prediction period from 30 days to 7 days for Simple Probability and Logistic Regression | baselines · Miaozhen conversion prediction | AUC | Hurt |
| Simple Probability versus Time-aware and Logistic Regression at 30-day period | Simple Probability · Miaozhen conversion prediction 30 days | AUC | Helped |
| additive hazard modeling of ad effects (AMTA) versus PMTA combination of effects | AMTA · website-level conversion attribution | attribution rationality and interpretability | Helped |
| last-touch Time-aware model versus multi-touch models | Time-aware · website-level conversion attribution | attribution credit to search ads | Hurt |
Closest papers by meaning
- Beyond Last-Click: An Optimal Mechanism for Ad Attribution (NeurIPS 2025 · similarity 0.85)
- Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards (NeurIPS 2025 · similarity 0.84)
- Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback (AAAI 2024 · similarity 0.83)
- On Online Experimentation without Device Identifiers (ICML 2024 · similarity 0.82)
- A3: Towards Advertising Aesthetic Assessment (CVPR 2026 · similarity 0.81)
- Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems (AAAI 2024 · similarity 0.81)
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