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Recommender systems have been a cornerstone of digital product design since the late 1990s, when Amazon pioneered collaborative filtering to suggest products based on purchase history. Traditional recommendation engines rely on algorithms that analyze user behavior patterns, item similarity, and demographic data to surface relevant suggestions ...
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