Which mathematical algorithm revolutionized Amazon's recommendation system, reportedly generating up to 35% of their sales through personalized product suggestions?

In the intersection of mathematics and retail, algorithms drive recommendation systems that power some of the world's most successful online retailers. These sophisticated mathematical models analyze purchasing patterns, browsing history, and customer preferences to suggest products that customers are likely to buy. Test your knowledge about how mathematics transforms retail recommendation systems and influences customer purchasing decisions.

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Item-to-Item Collaborative Filtering
Random Forest Decision Trees
K-Means Clustering
Bayesian Probability Networks