Audioscrobbler - The Music Technology Playground from Last.fm - The Diigo Meta page

• 03 Sep 15
  
• 30 Aug 15
  

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• 25 May 13
  

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• 25 Aug 08
  

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• 12 Aug 08
  

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• 22 Jul 08
  

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• 20 Jul 08
  

  Kou Mikami

  The Audioscrobbler system is a database that tracks listening habits and does wonderful things with statistics. Unless you are a programmer, you probably want our main site Last.fm instead.

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• 26 Jun 08
  

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• 06 Dec 07
  

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• 11 Nov 07
  

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  The Audioscrobbler system powers our main site, Last.fm, as well as exposing data via webservices so other projects can make interesting things from the data and recommendations we provide.

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• 02 Oct 07
  

  Hendy Irawan

  The Audioscrobbler system is a database that tracks listening habits and does wonderful things with statistics. Unless you are a programmer, you probably want our main site Last.fm instead.

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• 01 Oct 07
  

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• 08 Jul 07
  

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  • The Audioscrobbler system is a database that tracks listening habits and does wonderful things with statistics. Unless you are a programmer, you probably want our main site Last.fm instead.

  •   > 

     

    Audioscrobbler 101

     

      The Audioscrobbler system is a massive database that tracks listening habits and calculates relationships and recommendations based on the music people listen to.
• 30 May 07
  

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• 14 Mar 07
  

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• 13 Mar 07
  

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• 09 Mar 07
  

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• 15 Feb 07
  

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• 17 Jan 07
  

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  The Audioscrobbler system is a database that tracks listening habits and does wonderful things with statistics.

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• 14 Jan 07
  

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• 20 Dec 06
  

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• 21 Oct 06
  

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• 08 Sep 06
  

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• 29 Aug 06
  

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• 23 Jul 06
  

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• 17 Jul 06
  

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  • The Audioscrobbler system is a database that tracks listening habits and calculates relationships and recommendations based on the music people listen to.  After installing an Audioscrobbler plugin for your media player (eg iTunes, Winamp, XMMS) the name of every song you listen to is sent to the Audioscrobbler server and added to your music profile. The Audioscrobbler system powers our main site, Last.fm, as well as exposing data via webservices so other projects can make interesting things from the data and recommendations we provide.  A massive part of sucessfully recording listening habits is maintaining a healthy set of metadata describing albums and song information. We are working with the MusicBrainz.org dataset, and in future hope to offer more data based on their music GUIDs.
• 09 Apr 06
  

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• 19 Mar 06
  

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• 17 Feb 06
  

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• 02 Jan 06
  

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• 28 Nov 05
  

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• 14 Nov 05
  

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• 04 Nov 05
  

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• 01 Nov 05
  

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• 27 Oct 05
  

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• 13 Oct 05
  

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• 07 Oct 05
  

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• 16 Sep 05
  

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• 14 Sep 05
  

  Jeffrey Chan

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