Which pioneering retail personalization algorithm was famously known as 'item-to-item collaborative filtering' and revolutionized e-commerce recommendation systems in the early 2000s?

The retail industry has been transformed by artificial intelligence and machine learning algorithms that personalize the shopping experience. These sophisticated systems analyze customer data to create tailored recommendations and experiences. Test your knowledge about how these retail personalization algorithms have evolved and their impact on modern shopping behaviors. Do you understand how AI is reshaping the retail landscape?

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Amazon's recommendation engine, which increased sales by 35% in its first year of implementation
Walmart's Smart Shelf technology, which tracked in-store behavior patterns
Target's pregnancy prediction model, which identified expectant mothers through purchase patterns
Netflix's Cinematch system, later adapted for retail product recommendations