Which mathematical concept forms the foundation of collaborative filtering in retail recommendation systems?

Recommendation systems power the modern retail experience, suggesting products based on complex mathematical models. These systems analyze vast datasets using sophisticated algorithms to predict customer preferences. Behind the personalized recommendations you see on e-commerce platforms lies a world of mathematical concepts. Test your knowledge about the mathematical foundations that drive these powerful retail recommendation engines.

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Matrix factorization
Differential calculus
Boolean algebra
Fibonacci sequences