E-commerce Customer Segmentation Dataset with Behavioral and Demographic Attributes
收藏Zenodo2025-07-31 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.16624058
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资源简介：
A dataset of 8,068 e-commerce customers with 12 demographic and behavioral attributes (e.g., age, income, purchase frequency, average order value, browsing duration). It was used to develop an unsupervised deep learning framework that integrates autoencoders and clustering methods to identify actionable customer segments.
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Zenodo创建时间：
2025-07-31
