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Industry Report Amazon.com Recommendations - UMD

Industry Report Amazon.com Recommendations - UMD

www.cs.umd.edu

tive filtering, cluster models, and search-based methods. Here, we compare these methods with our algorithm, which we call item-to-item collab-orative filtering. Unlike traditional collaborative filtering, our algorithm’s online computation scales independently of the number of customers and number of items in the product catalog. Our algo-

  Collaborative, Filtering, Revatio, Collab, Collaborative filtering, Col laborative filtering

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