Which recommendation algorithm, launched in 2003, revolutionized e-commerce by analyzing customer purchase history to suggest "Customers who bought this item also bought..." and reportedly drove 35% of Amazon's early revenue?

Personalization algorithms have transformed how retailers interact with customers, creating tailored shopping experiences at scale. These sophisticated systems analyze vast amounts of customer data to predict preferences and behaviors, dramatically increasing conversion rates and customer loyalty. Test your knowledge about one of the most influential personalization algorithms that changed the retail landscape forever.

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Item-to-Item Collaborative Filtering
Neural Network Preference Analysis
Bayesian Product Association
Sequential Pattern Mining