Which recommendation algorithm, developed in 1998, revolutionized retail personalization by introducing 'item-to-item collaborative filtering' and was patented by a major online retailer?

The digital revolution transformed how retailers understand and respond to customer preferences. Behind today's personalized shopping experiences lie sophisticated algorithms that analyze purchase history, browsing behavior, and demographic data to create tailored recommendations. These innovations dramatically changed the retail landscape, creating the personalized shopping experiences we now take for granted. Test your knowledge about a pioneering algorithm that revolutionized retail personalization!

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

Amazon's Recommendation Engine
Netflix's Cinematch System
Google's PageRank Algorithm
Apple's Genius Recommendation Platform