Which mathematical algorithm, developed in the early 2000s, revolutionized retail personalization by enabling retailers to process massive datasets and identify subtle patterns in customer purchasing behavior?

Modern retail relies heavily on mathematical models to make data-driven decisions. From inventory optimization to customer segmentation, mathematics plays a crucial role in extracting actionable insights from retail big data. This poll tests your knowledge about a significant mathematical breakthrough that revolutionized retail data analytics and personalization strategies in the early 2000s.

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Matrix Factorization for Collaborative Filtering
Random Forest Decision Trees
K-means Clustering Analysis
Bayesian Network Probability Models