MUSIC MAP • ATLAS OF MUSIC |
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Visualisation of the landscape
of music based on users' tastes. The profiles from audioscrobbler and last.fm
provide the information by a calculation of the neighbourhood for each user.
This generated information takes place for the calculation of the artist
similarity. Furthermore representative artists and music styles have helped
to create a first reference map. Implementation: The music map is going to localize user's taste in the landscape of music, its current position (song it is listening to) and a path of its last 10 listened songs. Furthermore it is used to localize all current active users within last.fm and audioscrobbler.com. Explore: Some development steps of this part of the project can be seen on the right. |
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DATA ANALYSIS & METHODS |
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A geometric approach supports the
analysis of the existing data and its correctness. Differences, abnormalities
and errors are spotted for the further mapping process. The local center of about 150 similar artists can be mapped at this stage. |
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AREAS OF MUSIC |
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A simple draft based on traditional
methods has been created for reference and orientation. Representa-tive artist for the areas are selected to spot starting points. |
<user and artist map> <semio music> <user and artist space> | ||