Which pioneering recommendation algorithm, introduced in the late 1990s, revolutionized e-commerce by analyzing item-to-item correlations rather than customer similarities?

Recommendation engines have transformed how retailers connect products with consumers. These sophisticated systems analyze browsing history, purchase patterns, and demographic data to suggest relevant items, significantly boosting conversion rates and customer satisfaction. Test your knowledge about the technological milestones that have shaped modern retail recommendation systems and their impact on consumer behavior and business outcomes.

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Amazon's Item-to-Item Collaborative Filtering
Netflix's Matrix Factorization
Google's PageRank for Products
Spotify's Content-Based Filtering