customer_features
Published: 20 April 2026| Version 1 | DOI: 10.17632/krt74v58kt.1
Contributor:
Ahmed HagagDescription
This dataset represents the "Gold Layer" of a comprehensive Medallion Architecture data warehouse built for an e-commerce platform. It is the final, highly-optimized dataset designed specifically for advanced machine learning applications, including customer churn prediction, behavioral segmentation, and hybrid recommendation engines. The data was generated through a complete ETL (Extract, Transform, Load) pipeline by aggregating raw transactional logs (adapted from the UCI Online Retail dataset) and qualitative feedback (from Kaggle Women's E-Commerce Reviews).
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Categories
Recommendation System, Association Analysis