Machine Learning in E‑commerce
summary
Describes practical machine-learning techniques used in e-commerce for customer acquisition and retention, including product-catalog clustering, customer classification (identifying users likely to upgrade, churn, or generate profit), and methods to improve email campaign relevance. Focus is on popular, effective approaches actually used by the company rather than theoretical background.
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