Which mathematical technique forms the foundation of most modern retail recommendation engines that personalize product suggestions?

Retail personalization has transformed how businesses interact with consumers, using complex mathematics to predict preferences and behaviors. Behind these sophisticated systems are mathematical models that analyze vast amounts of data to create tailored shopping experiences. Test your knowledge about how mathematics powers modern retail personalization algorithms!

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Collaborative filtering using matrix factorization
Simple linear regression models
Basic frequency analysis of previous purchases
Random forest classification without feature engineering