Amazon.com recommendations: Item-to-item collaborative filtering

Abstract

Recommendation algorithms are best known for their use on e-commerce Web sites. It provides an effective form of targeted marketing by creating a personalized shopping experience for each customer. Amazon.com uses them to personalize the online store for each customer. Most of these algorithms start by finding a set of customers whose purchased and rated items overlap the user's purchased and rated items.