Which e-commerce company first implemented item-to-item collaborative filtering for product recommendations at scale, revolutionizing personalized shopping experiences?

Modern e-commerce platforms leverage sophisticated recommendation algorithms to boost sales and enhance user experience. These systems analyze browsing history, purchase patterns, and other customer data to suggest products users might be interested in. But do you know which pioneering company first implemented this game-changing technology at scale? Test your knowledge about the history of retail recommendation systems that have transformed how we shop online.

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Amazon (1998)
eBay (2001)
Alibaba (2003)
Rakuten (2000)