Which machine learning innovation, first introduced to retail analytics in 2009, revolutionized product recommendation systems by analyzing past purchase behavior to predict future buying patterns with 85% accuracy?

In the ever-evolving world of retail, certain technological discoveries have revolutionized how businesses understand their customers. Machine learning algorithms, in particular, have transformed retail analytics from simple data collection to predictive powerhouses. Test your knowledge about a pivotal retail machine learning breakthrough that changed how businesses approach customer behavior prediction and personalization.

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Collaborative Filtering Networks (CFNs)
Neural Shopping Prediction (NSP)
Quantum Retail Analysis Protocol (QRAP)
Behavioral Purchase Matrices (BPMs)