Which pioneering retail personalization algorithm, developed in the early 2000s, revolutionized e-commerce by creating the 'customers who bought this also bought' recommendation system?

Modern retail science has transformed how companies understand and predict consumer behavior. Behind today's personalized shopping experiences lies sophisticated data science and machine learning. These algorithms analyze purchase patterns, browsing history, and demographic information to create tailored recommendations. Test your knowledge about the groundbreaking retail personalization algorithm that changed the industry forever!

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Amazon's Item-to-Item Collaborative Filtering
Walmart's Customer Genome Project
Target's Pregnancy Prediction Score
Netflix's Cinematch System