Which mathematical technique forms the foundation of most modern retail personalization algorithms that recommend products based on past purchase history?

Personalization algorithms have revolutionized the retail industry by enhancing customer experience through tailored recommendations. These systems rely heavily on mathematical models and statistical methods to analyze customer data and predict preferences. Test your knowledge of the mathematical foundations behind retail personalization technology that major companies use to increase engagement and sales.

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Collaborative filtering using matrix factorization
Bayesian probability with Monte Carlo simulations
Decision tree classification with gradient boosting
Fuzzy logic systems with neural network optimization