Which mathematical technique forms the foundation of most collaborative filtering recommendation systems used by major online retailers?

Modern retail recommendation engines rely heavily on mathematical algorithms to predict consumer preferences. These systems analyze vast datasets to identify patterns and make personalized product suggestions. Test your knowledge of the mathematical foundations behind these powerful retail tools that influence shopping experiences worldwide.

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• Singular Value Decomposition (SVD)
• Fourier Transform Analysis
• Differential Calculus
• Boolean Algebra

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