Salvato in:
| Autore principale: | |
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| Natura: | Recurso digital |
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| Pubblicazione: |
Zenodo
2025
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| Accesso online: | https://doi.org/10.5281/zenodo.16624059 |
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Sommario:
- <p>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.</p>