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

Big data analytics has revolutionized the retail industry, allowing companies to forecast trends, optimize inventory, and personalize customer experiences. Behind these sophisticated systems lies a foundation of mathematical concepts that transform raw data into actionable insights. This poll tests your knowledge of the mathematical frameworks that power modern retail analytics platforms.

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• Singular Value Decomposition (SVD)
• Ordinary Differential Equations (ODE)
• Riemann Integration
• Euclidean Geometry

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