Which company first implemented item-to-item collaborative filtering for personalized product recommendations at scale, revolutionizing retail merchandising in the early 2000s?

In today's retail landscape, personalized product recommendations have become standard practice across e-commerce platforms. These systems analyze your browsing history, previous purchases, and demographic information to suggest items you might like. But this revolutionary approach to merchandising wasn't always the norm. One company pioneered the algorithm-based recommendation engine that transformed how retailers connect products with consumers, setting the standard that countless others would follow.

This is a live public trivia poll on AIPolls.Net. Vote and see real-time results.

Amazon
eBay
Netflix
Walmart