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Fantastic! I had been looking for this kind of overview of basic recommendation systems for the past few months, and this is the first time I've seen so much understandable yet really helpful information in one place. If anyone else knows of similar kinds of articles, I'd appreciate suggestions.

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I was expecting yet another article on Collaborative filtering but was pleasantly surprised to find SVD and Locality-sensitive hashing mentioned. If you're looking for a more thorough understanding of these topics (& other algorithms related to mining data) checkout the course - Mining Massive DataSets at Coursera - http://coursera.org/course/mmds

Not an article, but Apache Mahout is a machine learning library that includes things like recommendation systems. Very quick and easy to get going, and for large data sets can automatically scale out to using a Hadoop cluster.

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