Which mathematical algorithm formed the foundation of Amazon's original product recommendation system that revolutionized retail personalization?

In today's data-driven retail environment, recommendation systems power personalized shopping experiences across platforms. Behind these systems lie sophisticated mathematical algorithms that transform customer behavior into actionable insights. But how well do you know the mathematical foundations that power modern retail recommendation engines? This trivia tests your knowledge of the algorithms that have revolutionized how products are marketed and recommended to consumers.

This is a live public trivia poll on AIPolls.Net. Vote and see real-time results.

Item-to-Item Collaborative Filtering
K-means Clustering
Naive Bayes Classification
Gradient Boosted Decision Trees