Conditional Potential User Mining framework via explainable surrogate models

Yibowen Zhao, Yonghui Xu, Yong Liu, Luwei Yang, Wen Jiang, Wei Ning, Xiaofang Sun, Lizhen Cui

Abstract: Highlights•Introduces the concept of conditional potential users in e-commerce.•Launches CPUM framework for accurate prediction of conditional potential users.•Enhances model explainability with a surrogate model and attention mechanism.•Validates CPUM’s effectiveness with Amazon and Alibaba datasets.•Offers a scalable user prediction model adaptable to various e-commerce platforms.