Predicting Priority Factors for Rural E-Commerce Development Using Tri-Stage Integrated Attention Residual Transformer

Predicting Priority Factors for Rural E-Commerce Development Using Tri-Stage Integrated Attention Residual Transformer

E-commerce’s quick expansion has changed global marketplaces, creating rural development potential. Rural e-commerce performance relies on technology infrastructure, socio-economic circumstances, and government policy. Despite increased interest in rural e-commerce, current models general...

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Bibliographic Details
Main Authors: He Li, Naiyu Shi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Rural e-commerce
prediction model
attention mechanisms
residual learning
transformer architecture
deep learning
Online Access:https://ieeexplore.ieee.org/document/10950446/
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