I've updated our tastebroker to include a webservice that will generate music recommendations from APML.  It uses the 'tagomendations' recommender to generate artist-level recommendations based upon your music profile in your attention data.  It takes a few seconds to create the recommendations for an APML, which is really quite impressive considering all of the recommendation work is done on-the-fly, and is not pre-calculated.  (And I'm not bragging,  because I didn't write that bit of the code - it was developed by the advanced search technology group here in the labs - Thx Steve & Jeff!).
Comments:

Impressive recommendations, though obviously not as useful as last.fm's for discovery because it doesn't know that I've already listened to most of the artists it recommended. It would be good to be able to run the recommender locally so it would have access to my library, but maybe the requirements are too high for it to run on any old desktop PC.

Looking forward to the XSPF and track recommendations anyway.

Posted by alf on January 15, 2008 at 08:27 AM EST #

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