Which company pioneered the use of collaborative filtering algorithms for product recommendations, famously stating 'If you like that, you might also like this' in e-commerce?

Modern retail personalization algorithms have transformed how businesses interact with consumers, creating tailored experiences that boost engagement and sales. These sophisticated systems analyze purchasing patterns, browsing behavior, and demographic data to deliver customized product recommendations. Behind today's seamless personalized shopping experiences lies a fascinating history of innovation and strategic implementation. Test your knowledge about a pivotal moment in retail personalization history!

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

Amazon, with its item-to-item collaborative filtering system introduced in 1998
Netflix, with its Cinematch algorithm launched in 2000
eBay, with its BiddingBuddy system developed in 1999
Walmart, with its CustomerConnect platform rolled out in 1997