Delayed Feedback Modeling for Post-Click Gross Merchandise Volume Prediction: Benchmark, Insights and Approaches

Proceedings of the ACM Web Conference 2026 2026 Open access

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Authors: Xinyu Li, Sishuo Chen, Guipeng Xv, Li Zhang, Mingxuan Luo, Zhangming Chan, Xiang-Rong Sheng, Han Zhu, Jian Xu, Chen Lin
DOI: 10.1145/3774904.3792348
Cited by: 1
References: 18

Abstract

The prediction objectives of online advertisement ranking models are evolving from probabilistic metrics like conversion rate (CVR) to numerical business metrics like post-click gross merchandise volume (GMV). Unlike the well-studied delayed feedback problem in CVR prediction, delayed feedback modeling for GMV prediction remains unexplored and poses greater challenges, as GMV is a continuous target, and a single click can lead to multiple purchases that cumulatively form the label.

Fields of Study & Subjects

Consumer Market Behavior and Pricing Customer churn and segmentation Forecasting Techniques and Applications

Publication details

Journal / source
Proceedings of the ACM Web Conference 2026
Publisher
ACM
Pages
6299–6308
Publication date
9 April 2026