Which recommendation algorithm technique did Amazon pioneer in the late 1990s that revolutionized online retail and is now used by countless e-commerce platforms?

Recommendation systems have revolutionized how retailers connect customers with products they're likely to purchase. These sophisticated algorithms analyze browsing history, purchase patterns, and demographic data to create personalized shopping experiences. Test your knowledge about the technological innovations that power modern retail recommendation systems and how they've transformed the shopping experience in our increasingly data-driven economy.

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Collaborative filtering (item-to-item recommendations)
Neural network deep learning recommendations
Demographic-based filtering
Content-based filtering with NLP