This article explains what payment chargebacks are, outlines the Visa chargeback workflow, details the most common dispute reasons, and provides practical solutions and preventive measures that merchants can implement to reduce chargeback risk and improve customer experience.
This article analyzes how NetEase Payment identified its product positioning in the gaming market by addressing virtual asset trade risks, high‑value transaction challenges, and unsuitable mainstream payment platforms, then outlines a data‑driven user journey with segmentation, targeted incentives, AB testing, and iterative refinements to boost adoption.
This article describes how eBay applies graph neural networks to real‑time payment fraud detection, covering the anti‑fraud scenario, limitations of traditional GBDT pipelines, challenges of constructing and serving dynamic heterogeneous graphs, the end‑to‑end solution with directed slice graphs and a Lambda‑style architecture, and experimental results comparing GNN with LightGBM.
This article presents an end‑to‑end solution that leverages graph neural networks and dynamic bipartite graph construction to detect payment fraud in eBay's e‑commerce platform in real time, addressing traditional model limitations, graph latency challenges, and demonstrating superior performance over GBDT approaches.
This article explains how eBay uses graph neural networks and a heterogeneous‑graph fraud detection framework (xFraud) to improve payment risk assessment, overcome the limitations of traditional machine‑learning models, and effectively identify both individual and organized fraud in a large‑scale e‑commerce environment.
