Which machine learning technique is NOT commonly used in modern retail recommendation systems?

Recommendation systems have transformed how we shop online, but how much do you know about the science powering these sophisticated retail technologies? This poll tests your knowledge of the machine learning models and algorithms that analyze our browsing patterns, purchase history, and preferences to create personalized shopping experiences. Understanding these systems provides insight into how modern retail uses data science to boost conversion rates and enhance customer satisfaction.

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Convolutional Neural Networks specifically optimized for time-series financial forecasting
Collaborative filtering that identifies patterns among similar users and items
Content-based filtering that analyzes product attributes and user preferences
Association rule learning that identifies products frequently purchased together