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Samstag, 11. März 2006 link
Felix Miller of last.fm at ETech: "We get 8M ['I am listening to this song'-]submissions per day. Over a billion in the last year. [..] What do we do with all this data? [..] We use Collaborative Filtering to generate the base layer for our recommendations. User-to-user similarity (neighbours) and artist-to-artist similarity. [..] We have popularity data for every item in our catalogue. [..] Because we have popularity data, can filter the recommendations from most popular to most obscure."
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