Mar 22, 2019 · In this paper, we propose a novel user behavior representation model for fraud detection, where entities relations and user social relations are ...

Unsupervised User Behavior Representation for Fraud Review Detection with Cold-Start Problem · Qian Li, Qiang Wu, +2 authors. Wentao Zhao · Published in Pacific- ...

Apr 14, 2019 · Detecting fraud review is becoming extremely important in order to provide reliable information in cyberspace, in which, however, ...

Subsequently, SATURN effectively detects fraud reviews with the cold-start problem in its learned representation space. Extensive experiments on four large real ...

Jan 1, 2019 · Unsupervised user behavior representation for fraud review detection with cold-start problem ; Publication Type: Conference Proceeding ; Citation: ...

Unsupervised User Behavior Representation for Fraud Review Detection with Cold-Start Problem · 来自semanticscholar. 作者. WentaoZhao，JianZhang，ChengzhangZhu ...

An Inferable Representation Learning for Fraud Review Detection with Cold-start Problem ... user behaviors and review text to address the challenges of fraud ...

공동 저자 ; Unsupervised user behavior representation for fraud review detection with cold-start problem. Q Li, Q Wu, C Zhu, J Zhang, W Zhao. Advances in ...

An Inferable Representation Learning for Fraud Review Detection with Cold-start Problem · Computer Science. 2019 International Joint Conference on Neural… · 2019.

... represent the overall difference between non-fraudulent reviews and fake reviews. Next, we randomly generate synthetic review data points with different ...