Audioscrobbler - The Music Technology Playground from Last.fm
Popularity Report
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Rank
URL Tag Cloud
- api
- , social
- , music
- , music
- , mp3
- , audioscrobbler
- , web2.0
- , programming
- , blog
- , database
- , audio
- , tools
- , collaboration
- , radio
- , technology
- , XML
- , cool
- , data
- , stats
- , Blogs
Bookmark History
Saved by 24 people (-9 private), first by anonymouse user on 2006-03-19
- Rutawa on 2008-07-20 - Tags api , audio , blog , database , music , audioscrobbler , mp3 , tools
- Lukeslytalker on 2008-06-26 - Tags api , audio , blog , music , social , audioscrobbler , collaboration
- Psmith_ak on 2008-05-23 - Tags music , social , audioscrobbler , api , mp3 , programming , web2.0 , tools
- Jeffisageek on 2008-03-26 - Tags mp3 , music , radio , social , tagging
- Kartoch on 2007-12-06 - Tags api , javascript , mp3
Public Sticky notes
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.
Highlighted by ddraig
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.
Highlighted by ishtadasah
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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.
Highlighted by ishtadasah
Public Comment