Which e-commerce pioneer first implemented collaborative filtering for product recommendations, transforming retail personalization in the 1990s?

Recommendation systems have transformed how we shop online, suggesting products based on our preferences and behavior. These technological innovations have become essential tools for retailers to enhance customer experience, increase sales, and build customer loyalty. Test your knowledge about the origins of this revolutionary retail technology that has fundamentally changed how we discover products!

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Amazon (with its item-to-item collaborative filtering algorithm)
Netflix (with its CineMatch recommendation system)
GroupLens Research Project (the academic initiative at University of Minnesota)
eBay (with its feedback-based recommendation system)