Which machine learning technique revolutionized retail recommendation systems by analyzing the 'latent features' that influence consumer preferences rather than explicit product characteristics?

The intersection of science and retail has transformed how businesses understand consumer behavior. Advanced algorithms now process massive datasets to reveal patterns that were previously invisible. This trivia question explores a significant advancement in retail data analytics that has fundamentally changed how scientific product recommendations are made to consumers.

This is a live public trivia poll on AIPolls.Net. Vote and see real-time results.

Matrix Factorization
Decision Trees
K-Means Clustering
Random Forest Analysis