Which mathematical algorithm is NOT commonly used in retail recommendation systems?

Recommendation systems in retail rely heavily on mathematical algorithms to analyze customer behavior and suggest products. These systems have revolutionized how retailers target customers and increase sales. Test your knowledge about the mathematical foundations behind these powerful retail technology solutions that drive personalized shopping experiences.

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Collaborative Filtering
Laplace Transform Analysis
Matrix Factorization
K-Nearest Neighbors