Which machine learning technique revolutionized retail product recommendations by allowing systems to learn customer preferences without explicit programming?

Machine learning has revolutionized the retail science landscape, enabling businesses to predict customer behavior, optimize inventory, and personalize shopping experiences. But how well do you understand the technological breakthroughs that have made this retail revolution possible? Test your knowledge of the cutting-edge science powering today's retail machine learning systems and see if you can identify the breakthrough that changed how retailers understand their customers.

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Neural networks with deep learning architectures that can identify complex patterns in customer purchasing behavior
Simple regression algorithms that calculate linear relationships between product categories
Decision trees that segment customers into predetermined demographic groups
Support vector machines that classify products based on explicit customer ratings only