Which mathematical technique is MOST commonly used by e-commerce platforms to develop personalized product recommendation systems?

Modern retailers increasingly rely on sophisticated mathematical models to optimize their operations and enhance customer experiences. From inventory forecasting to personalized recommendation engines, mathematics plays a crucial role in retail analytics. This poll tests your knowledge about how specific mathematical concepts are applied in retail settings to solve complex business challenges.

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Markov Chain Monte Carlo simulations
Collaborative filtering and matrix factorization
Differential equations for time-series analysis
Boolean algebra and propositional logic