Which pioneering algorithm revolutionized retail personalization by introducing the concept of 'item-to-item collaborative filtering' that powers many modern recommendation systems?

Personalization has transformed the retail landscape, allowing brands to create tailored shopping experiences based on individual preferences and behaviors. But how much do you know about the sophisticated algorithms that power these recommendations? Test your knowledge about the technology behind those eerily accurate product suggestions that seem to read your mind!

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Amazon's Item-to-Item Collaborative Filtering (2003)
Netflix Prize Matrix Factorization (2009)
Google's PageRank for Products (2005)
Facebook's EdgeRank for Shopping (2010)