Which mathematical algorithm revolutionized e-commerce product recommendations and was famously used in the $1 million Netflix Prize competition for improving recommendation accuracy?

Product recommendation algorithms are a cornerstone of modern e-commerce platforms, helping consumers discover items they might like while boosting retailer sales. But behind these seemingly intuitive suggestions lies sophisticated mathematics. This poll tests your knowledge about the mathematical concepts that power product recommendation systems used by leading retailers and how they transform raw customer data into personalized shopping experiences.

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Matrix Factorization (Collaborative Filtering)
Random Forest Classification
K-means Clustering
Gradient Boosting Trees