Which mathematical concept forms the foundation of most modern retail recommendation engines that personalize product suggestions for customers?

Modern retail relies heavily on advanced mathematical algorithms to optimize everything from inventory to customer experiences. These algorithms process vast amounts of data to personalize shopping experiences, predict trends, and maximize efficiency. How well do you understand the mathematical foundations behind today's retail personalization systems?

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Markov Chain Monte Carlo simulations
Matrix factorization and collaborative filtering
Quaternion rotation algorithms
Fourier transform analysis