Which pioneering technology significantly advanced retail personalization algorithms by introducing collaborative filtering at scale in the late 1990s?

In today's retail landscape, personalization algorithms have transformed how businesses connect with consumers. These sophisticated systems analyze customer data to deliver tailored shopping experiences, product recommendations, and marketing messages. As these technologies evolve, they're reshaping customer expectations and creating new competitive advantages. Test your knowledge about this fascinating intersection of retail, data science, and consumer behavior that's driving modern shopping experiences.

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Amazon's item-to-item collaborative filtering system
Walmart's customer basket analysis framework
Apple's iBeacon proximity marketing solution
Facebook's social graph recommendation engine