ReadWriteWeb gives us some nice examples of the kinds of recommendation systems I wrote about in my previous post. Pandora is content-based, although the features are extracted by humans. The result is high-quality data, but poor scalability. Mufin is a classical example of content-based music recommenders, using a purely algorithmic approach. Lala seems to be old-fashioned word-of-mouth recommendations put on the Internet. eMusic is a hybrid system, but combines social with expert, and social with content-based like Oscar Celma proposes. Apple Genius is most likely a typical collaborative filtering recommender, based on artist (not song or album) similarity.
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