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January 1, 2026International Journal of Wireless and Mobile Computing

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

Madhavi Samala Abdul Ahad

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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.

Implication

Identifies fake reviews in e-commerce, suggesting improved reliability for online shoppers.

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Cite This Study

Samala et al. (2026) studied this question.

synapsesocial.com/papers/69ec5a6b88ba6daa22dabeeb https://doi.org/10.1504/ijwmc.2026.10077923

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