Intelligent Prediction of Cross-Border E-Commerce Customer Satisfaction Using Deep Learning Embeddings

Intelligent Prediction of Cross-Border E-Commerce Customer Satisfaction Using Deep Learning Embeddings

Cross-border e-commerce companies commonly face challenges in product development and selection. This study develops an intelligent prediction model using the Keras deep learning framework, employing a Sequential model for the study. The model is trained using actual product market datasets from cro...

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Bibliographic Details
Main Authors: Chunrong Guo, Xiaodong Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Customer satisfaction
cross-border E-commerce
deep learning
intelligent marketing
artificial intelligence
Online Access:https://ieeexplore.ieee.org/document/10749797/
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https://ieeexplore.ieee.org/document/10749797/

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