Which mathematical technique forms the core of collaborative filtering in retail recommendation systems?

Recommendation systems are essential for modern e-commerce, suggesting products based on customer preferences and behavior. Behind these systems lie sophisticated mathematical algorithms that transform raw data into personalized suggestions. Test your knowledge about the mathematical techniques powering retail recommendation engines that help businesses increase sales and customer satisfaction.

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Matrix Factorization
Bayesian Networks
Markov Decision Processes
Newton-Raphson Method