Which big data technique has most significantly improved product recommendation accuracy for scientific equipment retailers in the past five years?

The intersection of science and retail has transformed how companies understand consumer behavior. Advanced analytics and big data processing have revolutionized product development, marketing strategies, and customer retention in scientific fields. This poll tests your knowledge about how scientific retailers are leveraging data science to gain competitive advantages in specialized markets.

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Collaborative filtering algorithms that identify patterns across similar research institutions
Neural network analysis of research publication citations to predict equipment needs
Simple demographic segmentation based on institution size and budget
Random forest models analyzing seasonal purchasing patterns