Which mathematical concept forms the foundation of most modern retail recommendation engines that personalize shopping experiences?

The retail world increasingly relies on mathematical models to optimize customer experience and boost sales. From predictive analytics determining product placement to complex algorithms personalizing shopping recommendations, mathematics drives modern retail innovation. This trivia question explores how a specific mathematical concept revolutionized retail personalization strategies, separating those who understand the technical foundations of modern shopping experiences from casual observers.

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Bayesian probability models
Matrix factorization and collaborative filtering
Markov chain decision processes
Fibonacci sequence optimization