Which mathematical technique revolutionized retail personalization algorithms by enabling retailers to identify hidden patterns in consumer purchase behavior?

The intersection of mathematics and retail analytics has revolutionized consumer behavior prediction. Advanced algorithms now process vast amounts of customer data to create personalized shopping experiences and targeted marketing campaigns. This poll tests your knowledge about how mathematical models have transformed retail personalization strategies and the key innovations that drive modern consumer analytics.

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Collaborative filtering using matrix factorization
Euclidean distance calculations in Gaussian mixtures
Binomial probability distribution modeling
Fourier transform signal processing