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It’s interesting the amount of research listed in the article and IMHO the recommendation engine/ algorithm used by Rdio in the late aughts and early 2010s eclipses anything I’ve encountered to date.

Seems like folks are reinventing the wheel, and trying to deduce what folks want to engage in with data and “AI”, rather than providing sufficient tools to allow the user to drive the narrative.




The problem is that Rdio's was based on Echo Nest's similarity algorithm, which went private after Spotify bought Echo Nest.

Doing music similarity with Echo Nest was great back when it was public. I did a project in grad school with it.


Exploit is easy. It’s the explore part that’s hard. I.e. recommending me something i never knew i liked.

Pandora and Rdio and others solved the exploit problems years and years ago.


any time there's a music recommender thread, there will be comments lamenting old algos like Rdio or play.fm

it's interesting how this continues a trend in across music/audio tech, such as hipsters insisting "i liked the earlier work better" or audiophiles obsessing over amps from the 1970s.




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