Which pioneering technology company first implemented large-scale retail personalization algorithms that could recommend products based on purchase history?

The way we shop today is dramatically different from just a few decades ago. Personalization algorithms have transformed retail from a one-size-fits-all experience to a tailored journey unique to each consumer. These sophisticated systems analyze our behaviors, preferences, and purchase histories to create shopping experiences that feel almost clairvoyant. But when did this revolution in retail really begin? Test your knowledge about the early days of retail personalization technology!

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Amazon, with its item-to-item collaborative filtering system in 1998
Netflix, with its Cinematch algorithm in 2000
Walmart, with its Customer Preference System in 1995
eBay, with its BidRecommender platform in 1997