Which scientific advancement has been most revolutionary for e-commerce personalization algorithms in the past decade?

E-commerce platforms rely heavily on scientific algorithms and data analysis to enhance the customer experience. Personalization technology has become increasingly sophisticated, using machine learning and behavioral science to predict consumer preferences. Test your knowledge about the cutting-edge science that powers modern e-commerce personalization systems.

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Deep neural networks that can process and learn from unstructured data like browsing patterns and visual preferences
Quantum computing algorithms that simultaneously calculate all possible customer preferences
DNA sequencing technology that links genetic predispositions to product preferences
Neuromorphic chips designed specifically for real-time shopping behavior analysis