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2 Results for: Keyword: Treatment Selection
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- research-articleApril 2022
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm
WWW '22: Proceedings of the ACM Web Conference 2022Pages 2310–2319https://doi.org/10.1145/3485447.3512103Offering incentives (e.g., coupons at Amazon, discounts at Uber and video bonuses at Tiktok) to user is a common strategy used by online platforms to increase user engagement and platform revenue. Despite its proven effectiveness, these marketing ...
- research-articleJune 2021
Personalized Treatment Selection using Causal Heterogeneity
WWW '21: Proceedings of the Web Conference 2021Pages 1574–1585https://doi.org/10.1145/3442381.3450075Randomized experimentation (also known as A/B testing or bucket testing) is widely used in the internet industry to measure the metric impact obtained by different treatment variants. A/B tests identify the treatment variant showing the best ...
