Kuaishou Tech
Mar 16, 2022 · Artificial Intelligence
Multi-Dimensional Causal Forest Model for Heterogeneous Treatment Effects in Marketing
This paper introduces a novel multi-dimensional causal forest model combined with efficient integer programming algorithms to estimate heterogeneous treatment effects (HTE) in marketing scenarios, outperforming traditional tree-based methods through improved handling of intervention heterogeneity and resource allocation optimization.
A/B testingHeterogeneous Treatment EffectsMarketing Algorithms
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