Which e-commerce company first implemented a large-scale product recommendation system that significantly influenced modern retail?

Recommendation systems have revolutionized how we shop online, creating personalized experiences that boost sales and customer satisfaction. These sophisticated algorithms analyze our browsing history, purchases, and preferences to suggest products we might like. But do you know when this game-changing retail technology first emerged at scale? Test your knowledge of this pivotal retail innovation that has transformed e-commerce and created the personalized shopping experiences we now take for granted.

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Amazon, with its item-to-item collaborative filtering system in 1998
eBay, with its BiddingBuddy recommendation engine in 1997
Netflix, with its Cinematch algorithm in 2000
Alibaba, with its TaoBao recommendation system in 2003