Which retail innovation, first widely implemented in the late 1990s, used collaborative filtering algorithms to analyze purchase patterns and revolutionized how products are recommended to consumers?

The way products are discovered and recommended to consumers has evolved dramatically with technology. Behind today's personalized shopping experiences lies sophisticated psychology and innovative systems designed to understand and predict consumer behavior. This trivia question explores a groundbreaking development in how retailers revolutionized product discovery and recommendation.

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Amazon's Item-to-Item Collaborative Filtering
Walmart's Geographic Preference Analysis
Target's Demographic Segmentation Matrix
eBay's Auction Behavior Prediction System