Fraud Detection via Neural Autoencoder Decision Forest

@inproceedings{Dong2018FraudDV,
  title={Fraud Detection via Neural Autoencoder Decision Forest},
  author={Manqing Dong and Lina Yao and Xianzhi Wang and Boualem Benatallah and Chaoran Huang and Xiaodong Ning},
  year={2018}
}
Online reviews play an important role in influencing buyers’ daily purchase decisions. However, fake and meaningless reviews, which cannot reflect users’ genuine purchase experience and opinions, widely exist on the Web and pose great challenges for users to make right choices. Therefore, it is desirable to build a fair model that evaluates the quality of products by distinguishing spamming reviews. We present an end-to-end trainable unified model to leverage the appealing properties from… CONTINUE READING