Session-Based Fraud Detection in Online E-Commerce Transactions Using Recurrent Neural Networks

Cancheng Liu
Cancheng Liu
Xiang Gao
Xiang Gao
Hongtao Qu
Hongtao Qu

Lecture Notes in Artificial Intelligence, pp. 241-252, 2017.

Cited by: 20|Views5
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Abstract:

Transaction frauds impose serious threats onto e-commerce. We present CLUE, a novel deep-learning-based transaction fraud detection system we design and deploy at JD.com, one of the largest e-commerce platforms in China with over 220 million active users. CLUE captures detailed information on users' click actions using neural-network base...More

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