Which algorithm technique is most commonly used by scientific supply companies to provide personalized product recommendations to research laboratories?

In the science industry, retail analytics and personalization algorithms have revolutionized how research products, laboratory equipment, and scientific publications are marketed to researchers and institutions. These sophisticated systems analyze purchase patterns, research interests, and institutional affiliations to create targeted recommendations. How well do you understand the technology behind scientific retail personalization?

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Collaborative filtering based on institutional purchase patterns and research publication keywords
Simple demographic segmentation based only on laboratory size and budget
Random forest algorithms analyzing only geographical proximity to distribution centers
Basic A/B testing without machine learning components