Which pioneering recommendation algorithm, introduced in the late 1990s, revolutionized retail personalization by analyzing customer purchase patterns and is considered the foundation of modern AI-driven product recommendations?

The intersection of artificial intelligence and retail has revolutionized how we shop. One breakthrough technology changed the landscape of personalized product recommendations forever, creating the foundation for today's sophisticated AI-driven retail experiences. Test your knowledge about this pivotal innovation that transformed e-commerce and retail personalization.

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Collaborative Filtering (used in Amazon's 'Customers Who Bought This Also Bought')
Neural Network Recommendation Systems (DeepMind's RetailNet)
Preference Vector Analysis (Google Shopping's initial algorithm)
Behavioral Clustering Technology (developed at MIT Media Lab)