Which retail company first implemented collaborative filtering for personalized product recommendations at scale, pioneering algorithm-based personalization in e-commerce?

Personalization algorithms have revolutionized how retailers engage with customers, creating tailored experiences that drive conversion and loyalty. These sophisticated systems analyze customer data to deliver individualized product recommendations, content, and promotions. Test your knowledge about the evolution of these powerful retail technology tools that have transformed modern shopping experiences across both digital and physical retail environments.

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Amazon (with its item-to-item collaborative filtering in 1998)
eBay (with its preference matching system in 1996)
Walmart (with its customer insights engine in 1999)
Netflix (with its movie recommendation system in 1997)