Which mathematical technique revolutionized retail personalization algorithms in the 2010s by enabling more accurate prediction of customer preferences based on sparse data?

In today's data-driven retail environment, advanced mathematical algorithms power the personalized shopping experiences we encounter online. These algorithms analyze our browsing history, purchase patterns, and demographic information to create tailored product recommendations. Test your knowledge about how mathematics drives retail personalization and shapes consumer experiences in the digital marketplace.

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Matrix Factorization and Singular Value Decomposition (SVD)
Quadratic Programming and Linear Regression
Fourier Transformation and Wavelet Analysis
Simplex Method and Integer Programming