Which mathematical technique is most commonly used by modern retail recommendation engines to identify patterns in customer purchasing behavior?

In today's data-driven retail landscape, advanced mathematical models power decision-making and customer experiences. Behind every personalized recommendation, inventory forecast, or targeted promotion lies sophisticated mathematical algorithms. This trivia question tests your knowledge about how mathematics is revolutionizing retail technology and enhancing customer experiences through predictive analytics.

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Matrix Factorization and Collaborative Filtering
Fourier Transforms
Euclidean Geometry
Differential Calculus