Which innovative technique do modern food retail recommendation systems use to address the 'cold start problem' when suggesting products to new customers?

In today's competitive food retail landscape, sophisticated recommendation systems help grocers and food delivery services increase sales and improve customer satisfaction. These AI-powered systems analyze purchase history, browsing behavior, and even seasonal trends to suggest products customers might enjoy. How well do you understand the cutting-edge technology behind what ends up in your shopping cart or on your dinner table?

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Taste molecule analysis that matches molecular profiles of previously enjoyed foods to suggest similar products
Contextual bandits algorithms that balance exploration of new food categories with exploitation of known preferences
Geographical purchasing patterns that suggest products based solely on your zip code's most popular items
Demographic mirroring that assigns recommendations based on purchases from customers with identical age, gender and income