Which mathematical algorithm revolutionized Amazon's product recommendation system and reportedly generated 35% of their sales through personalized suggestions?

In the competitive world of retail, mathematical algorithms drive personalization and customer experience. Today's advanced recommendation systems use sophisticated mathematical models to analyze consumer behavior and predict preferences. These algorithms have transformed how retailers engage with customers, creating tailored shopping experiences that significantly impact sales performance and customer loyalty. Test your knowledge about a groundbreaking retail personalization algorithm that changed the industry!

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Collaborative Filtering Matrix Factorization
Neural Network Deep Learning (NNDL)
Bayesian Preference Clustering
Gradient Boosted Decision Trees