Detect Professional Malicious User with Metric Learning in Recommender Systems

@article{Xu2020DetectPM,
  title={Detect Professional Malicious User with Metric Learning in Recommender Systems},
  author={Yuanbo Xu and Yongjian Yang and En Wang and Fuzhen Zhuang and Hui Xiong},
  journal={ArXiv},
  year={2020},
  volume={abs/2205.09673}
}
—In e-commerce, online retailers are usually suffering from professional malicious users (PMUs), who utilize negative reviews and low ratings to their consumed products on purpose to threaten the retailers for illegal profits. PMUs are difficult to be detected because they utilize masking strategies to disguise themselves as normal users. Specifically, there are three challenges for PMU detection: 1) professional malicious users do not conduct any abnormal or illegal interactions (they never… 
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