In a new paper, the researchers demonstrate that the online music game they created provides crucial data for building the back-end of a music search engine that allows users to type in words in order to find songs.
"When my mom gets up in the morning and is like, 'I need some energy to go jogging,' she has no clue what title or artist is going to help her with that," said Gert Lanckriet, the UCSD electrical engineering professor overseeing the project.
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If your into music you might want to also take a look at Pandora. Pandora allows you to list the songs and artists you like. Then, makes suggestions about songs and groups that you might also like to listen to. Then listen on the web.
Where does the information (metadata) originate to find similarities in the music so suggestions can be made?
Humans.
This really shows the power of great human created metadata. Nearly 400 attributes are listed and noted by the fifty "musician-analysts" who do the cataloging/indexing. A controlled, expert environment.
It takes 20-30 minutes per song to capture all of the little details that give each recording its magical sound - melody, harmony, instrumentation, rhythm, vocals, lyrics ... and more - close to 400 attributes!
After you make your initial selection you can help "tune" the station by voting if you like or dislike the track. You will also find several sharing options and in many cases links to purchase th track from iTunes or Amazon.com
Really cool. Look for the "up arrow" at the bottom of each track info box and click, "Why is this Song Playing" and learn what attributes the song has that makes the Pandora database suggest it.
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