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Collaborative Filtering and Its Importance to Personalized Recommendations in eCommerce

By Dan Darnell in Featured, Technology and Science on April 18, 2013

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How does a retailer make sense of a large amount of customer purchase data?  Collaborative filtering is one technique that mathematically segments data in to like or “collaborative” groupings.   Examples for online retail recommendations include filters such as “customer who bought this, also bought that” or “customers who looked at this item, also looked at these other items.”  Amazon ... Read More »