Intelligent fake review identification e-commerce with multi-attention residual shrinkage-CNN

Key Points

• The study aims to develop an effective method for identifying fake reviews in e-commerce settings.
• Utilized a multi-attention residual shrinkage convolutional neural network (CNN) for fake review detection.
• Trained the model on a large dataset of online reviews.
• Evaluated model performance using standard metrics such as accuracy and precision.
• Achieved an accuracy of 92% in identifying fake reviews.
• Demonstrated improved precision and recall compared to existing methods.
• Reduced false positive rates significantly through advanced model architecture.