Which groundbreaking recommendation system was the first to use collaborative filtering technology at scale for e-commerce, launching in 1998?

Recommendation systems have revolutionized how we discover products online. These sophisticated algorithms analyze our browsing history, purchases, and preferences to suggest items we might like. From books to movies to clothing, these AI-powered systems have become an integral part of the modern shopping experience, driving significant revenue for retailers while enhancing customer satisfaction. Test your knowledge about the history and development of these influential technological innovations.

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Amazon's Item-to-Item Collaborative Filtering
Netflix Prize Algorithm
Pandora's Music Genome Project
Google's PageRank for Products