Which mathematical technique revolutionized retail customer analytics by enabling the processing of high-dimensional customer data for personalized recommendation systems?

In the world of retail mathematics, customer analytics has transformed how businesses understand buying patterns. Advanced statistical models now help retailers predict consumer behavior with remarkable accuracy. This poll tests your knowledge about a pivotal mathematical technique that revolutionized retail customer analytics and personalized recommendation systems, allowing businesses to process massive datasets and identify hidden patterns in consumer preferences.

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Matrix Factorization & Singular Value Decomposition
Bayesian Probability Networks
Markov Chain Monte Carlo Simulations
Gradient Boosted Decision Trees