Which mathematical concept forms the foundation of most retail recommendation engines that suggest products based on customer purchase history?

Mathematics has become a cornerstone of modern retail strategy, particularly through artificial intelligence applications. Behind every recommendation engine and inventory optimization system lies complex mathematical algorithms. This poll tests your knowledge about how mathematical concepts are transforming retail AI applications and creating competitive advantages for companies that effectively leverage these technologies.

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Collaborative filtering using matrix factorization and cosine similarity calculations
Euclidean geometry with three-dimensional product space mapping
Differential calculus with rate-of-change demand forecasting
Boolean algebra with binary purchase decision trees