Which mathematical algorithm revolutionized Amazon's recommendation system in the early 2000s, allowing it to process vast amounts of data and provide personalized product suggestions?

Modern e-commerce platforms rely heavily on sophisticated mathematical algorithms to power their recommendation engines. These algorithms analyze user behavior, purchase history, and browsing patterns to suggest products that customers are likely to buy. Test your knowledge of the mathematical foundations behind these powerful retail recommendation systems that drive billions in revenue annually.

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Item-to-Item Collaborative Filtering
K-means Clustering
Principal Component Analysis (PCA)
Random Forest Algorithm