Which groundbreaking algorithm, developed in the late 1990s, is widely considered the foundation of modern retail personalization technology?

In the evolving landscape of retail, personalization algorithms have transformed how companies interact with customers. These sophisticated systems analyze shopping patterns, browsing history, and preferences to create tailored shopping experiences. The development of these algorithms represents one of the most significant technological innovations in retail history, blending data science with consumer psychology. Test your knowledge about the origins of retail personalization technology that now powers recommendations across the global shopping experience.

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

Amazon's Item-to-Item Collaborative Filtering (1998)
IBM's Market Basket Analysis System (1997)
Stanford's ConsumerDNA Protocol (1999)
Microsoft's RetailSense Framework (1996)