Item-to-Item Collaborative Filtering with Amazon's Recommendation System
Edwin Chen
FEBRUARY 14, 2011
Introduction. In making its product recommendations, Amazon makes heavy use of an item-to-item collaborative filtering approach. This essentially means that for each item X, Amazon builds a neighborhood of related items S(X); whenever you buy/look at an item, Amazon then recommends you items from that item’s neighborhood. That’s why when you sign in to Amazon and look at the front page, your recommendations are mostly of the form “You viewed… Customers who viewed this als
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