Which mathematical technique forms the foundation of Amazon's item-to-item collaborative filtering recommendation algorithm that powers their 'Customers who bought this also bought' feature?

In today's data-driven retail environment, sophisticated mathematical algorithms power personalized shopping experiences. These algorithms analyze customer behavior patterns, purchase history, and browsing data to create tailored recommendations. Understanding the mathematical foundations behind these systems reveals how retailers transform raw data into personalized customer journeys that increase conversion rates and customer satisfaction.

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Matrix Factorization
Cosine Similarity
Random Forest Classification
Bayesian Network Analysis