Which mathematical concept has been most transformative in enabling personalized product recommendations in modern retail digital transformation?

Retail mathematics has evolved dramatically with digital transformation. Leading retailers now employ sophisticated mathematical models to optimize everything from inventory to customer experience. This poll tests your knowledge of how mathematics intersects with retail innovation in the digital age. Can you identify which mathematical approach has revolutionized personalized shopping experiences?

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Bayesian inference networks that update product recommendations based on new customer behaviors
Matrix factorization algorithms that identify latent features in customer-product interactions
Markov chain processes that predict sequential purchasing patterns
Euclidean distance calculations that cluster similar customer profiles