How music recommendation works

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Here is a really interesting and revealing piece on how music recommendation works. (Thanks to Emma Uprichard for the link). The piece provides an overview of the way the various applications help with ‘music discovery’. Some use aggregate taste patterns and others look for similarities in the songs. It also looks like this is an area of development with more applications under development or being launched.

Relating to the observations in this piece I’ve just added a link to an open access version of my article ‘Power through the algorithm‘ to the open access and audio materials section of this blog. I’ve got a follow up article that builds on this piece under review and I’m also trying to develop this in relation to culture in the book I’m working on (a little more on this soon I expect).

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This entry was posted in data and dataplay, infrastructures, metrics, music, web cultures and tagged , , , , . Bookmark the permalink.

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