Fake Review Detection Based on Multiple Feature Fusion and Rolling Collaborative Training

Fake Review Detection Based on Multiple Feature Fusion and Rolling Collaborative Training

Fake reviews may mislead consumers. A large number of fake reviews will even cause huge property losses and public opinion crises. Therefore, it is necessary to detect and filter fake reviews. However, most existing methods have lower accuracy in detecting fake reviews due to they just use single fe...

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Bibliographic Details
Main Authors: Jingdong Wang, Haitao Kan, Fanqi Meng, Qizi Mu, Genhua Shi, Xixi Xiao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Fake review detection
machine learning
multiple feature fusion
feature extraction
rolling collaborative training
Online Access:https://ieeexplore.ieee.org/document/9212374/

Internet

https://ieeexplore.ieee.org/document/9212374/

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