Which mathematical concept forms the foundation of modern product recommendation engines used by leading retailers for personalized shopping experiences?

In the intersection of mathematics and retail marketing lies a world of sophisticated analytical tools that drive decision-making. This poll tests your knowledge about how advanced mathematical concepts are applied in modern retail analytics to optimize product launches and customer journeys. Can you identify which mathematical model has revolutionized personalized recommendation systems in retail?

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Markov Decision Processes
Singular Value Decomposition (SVD) in Matrix Factorization
Bayesian Belief Networks
Fourier Transform Analysis