Which recommendation algorithm, developed by Amazon in the late 1990s, revolutionized e-commerce by introducing the 'item-to-item collaborative filtering' approach?

Retail personalization algorithms have revolutionized how online stores recommend products to consumers. These sophisticated systems analyze your browsing history, purchase patterns, and demographic information to create tailored shopping experiences. But how well do you understand the technology that's shaping your buying decisions? Test your knowledge about one of the most influential recommendation algorithms in e-commerce history.

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• A9 Algorithm
• Amazon Personalization Engine (APE)
• Amazon Recommendation Algorithm (ARA)
• Prime Suggestion System

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