Which mathematical technique is MOST commonly used by e-commerce platforms for product recommendation engines?

E-commerce platforms rely heavily on advanced mathematical models to optimize customer experiences and drive sales. Behind the personalized recommendations and dynamic pricing strategies lies a sophisticated world of algorithms and statistical analysis. This poll tests your knowledge about how mathematics powers the analytics behind modern online shopping platforms.

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Collaborative filtering using matrix factorization
Bayesian optimization with Gaussian processes
Markov decision processes for sequential decision making
Fourier transform analysis of purchasing patterns