Which retail company first implemented a sophisticated product recommendation algorithm using collaborative filtering that became a significant driver of its revenue growth?

Test your knowledge about the evolution of personalization algorithms in retail! While many retailers now use AI and machine learning to customize shopping experiences, some companies pioneered these technologies years before they became mainstream. This question explores which retail giant was truly ahead of the curve in developing sophisticated recommendation engines that fundamentally changed how consumers discover products online.

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Amazon with its item-to-item collaborative filtering system (1998)
Walmart with its Customer Value Program (2002)
Netflix with its Cinematch system (2000)
Target with its Guest Pattern Recognition platform (1999)