Which mathematician is credited with developing the first widely-used collaborative filtering algorithm that revolutionized retail personalization and recommendation systems?

In the world of retail personalization, mathematics has transformed how products are marketed to consumers. Advanced algorithms now power recommendation systems that seem to know what we want before we do. This trivia question explores a key historical moment in the development of mathematical approaches to personalization in retail, testing your knowledge of where these revolutionary techniques originated.

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

John Tukey, who applied his statistical methods to consumer behavior analysis in the 1980s
Jon Kleinberg, whose HITS algorithm transformed how retailers understood product relationship networks
Badrul Sarwar, whose item-based collaborative filtering techniques became foundational for Amazon's recommendation system
Florence Nightingale David, whose early work on consumer statistical patterns influenced modern retail algorithms