Which mathematical algorithm is most commonly used as the foundation for retail personalization systems that recommend products based on previous customer purchases?

In today's data-driven retail environment, mathematics plays a crucial role in personalizing customer experiences. Advanced algorithms analyze consumer behavior to deliver targeted product recommendations and promotions. This trivia question explores the mathematical foundation behind one of retail's most powerful personalization techniques. Test your knowledge of how mathematical concepts are applied in modern retail technology!

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Collaborative filtering with matrix factorization
Quadratic programming with Lagrangian multipliers
Monte Carlo simulations with Markov chains
Fourier transform with wavelet decomposition