With the development of e-commerce, fraud behaviors have been becoming one of the
biggest threats to the e-commerce business. Fraud behaviors seriously damage the ranking …

Live-streaming platforms have recently gained significant popularity by attracting an
increasing number of young users and have become a very promising form of online …

Fraud transactions obtain the rights and interests of e-commerce platforms by illegal ways,
and have been the emerging threats to the healthy development of these platforms …

Fraud transactions are one of the major threats faced by online e-commerce platforms.
Recently, deep learning based classifiers have been deployed to detect fraud transactions …

Fraud behavior poses a severe threat to e-commerce platforms and anti-fraud systems have
become indispensable infrastructure of these platforms. Recently, there have been a large …

Graph-powered fraud detection is a common issue in various areas, such as e-commerce,
banking, insurance and social networks, where data can be naturally formulated as graph …

The purpose of this study is to investigate the effects of contextual features on automatic
detection accuracy of online recruitment frauds in Australian job market. In addition, the …

Abstract Recently popularized Graph Neural Network (GNN) has been attaching great
attention along with its successful industry applications. This paper focuses on two …

With the development of e-commerce platforms, e-commerce recommendation systems are
playing an increasingly important role for the purpose of product recommendation. As a new …

Fraud sellers in e-commerce usually promote their products via fake transactions. Such
behaviors damage the reputation of the e-commerce platform and jeopardize the business …