jeansGuyOZ
Smartarse from Down Under
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I have an interesting idea for an interactive Internet radio station - I don't know if this has been tried before. For it to work, you would have to have some way of measuring how different one song was from another - not a note by note comparison, but a comparison of style. So a song by Usher would be rated fairly similar in style to one by Beyonce, but very diifferent to one by, say, Peter Gabriel.
How it would work would be: to start with, the site would select ANY music, completely at random, from a very large playlist comprising all kinds of genres. However, you would have the option to give the piece a negative rating. The site would be programmed so that, over time, music would continue to be selected at random, but tracks similar to one for which you gave a negative rating would be less likely to be selected - the closer the match, the smaller the probability. You could even hear a song you already disliked, it would just be less likely, and become less likely over time as you continued to dislike it.
One way to measure how similar one song is to another would be to compare the two lists of people who disliked each of them, and see how closely they matched.
It's important to note that I am proposing only a negative rating, not a positive one. So while I may really like the song I just heard from Joni Mitchell, I might be quite happy if the next track was something by Bob Marley. It leaves open the possibility of discovering new music and new styles that you never knew you liked.
The Internet stations on Live365 already have a system where you can give a track a "thumbs up" or "thumbs down", but that rating only refers to that particular track, and of course those stations are not personalised.
How it would work would be: to start with, the site would select ANY music, completely at random, from a very large playlist comprising all kinds of genres. However, you would have the option to give the piece a negative rating. The site would be programmed so that, over time, music would continue to be selected at random, but tracks similar to one for which you gave a negative rating would be less likely to be selected - the closer the match, the smaller the probability. You could even hear a song you already disliked, it would just be less likely, and become less likely over time as you continued to dislike it.
One way to measure how similar one song is to another would be to compare the two lists of people who disliked each of them, and see how closely they matched.
It's important to note that I am proposing only a negative rating, not a positive one. So while I may really like the song I just heard from Joni Mitchell, I might be quite happy if the next track was something by Bob Marley. It leaves open the possibility of discovering new music and new styles that you never knew you liked.
The Internet stations on Live365 already have a system where you can give a track a "thumbs up" or "thumbs down", but that rating only refers to that particular track, and of course those stations are not personalised.
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