Which mathematical algorithm is NOT commonly used in retail personalization systems to generate product recommendations?

Modern retail platforms leverage sophisticated mathematical models to deliver personalized shopping experiences. These recommendation engines analyze vast datasets to predict customer preferences and buying patterns. Behind the scenes, complex algorithms determine what products you see while shopping online. Test your knowledge about the mathematical foundations that power today's retail personalization systems!

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Markov Decision Process
Singular Value Decomposition
Sieve of Eratosthenes
K-Nearest Neighbors