Which machine learning technique is MOST commonly used by major online retailers to power their product recommendation systems?

Machine learning has transformed how retailers understand and serve their customers. From inventory management to personalized recommendations, AI-powered systems have become the backbone of modern retail operations. This poll tests your knowledge of how these systems actually work in the retail environment and which innovations have had the most significant impact on the industry's evolution.

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Collaborative filtering algorithms that analyze patterns across user behaviors
Reinforcement learning systems that optimize for maximum sales conversion
Natural language processing (NLP) to analyze product descriptions
Computer vision algorithms that identify visual similarities between products