Their job is to take the data, figure out what parts are more or less important, and break it down in such a way that it becomes useful. Specifically, even if you had all that information about the songs, how do you write a formula to figure out which song to play? Is “gender of lead vocalist” more important than “prevalent use of groove”? Remember, if your formula isn’t good, customers won’t stick around and you’ll be out of business. Can you imagine the amount of work it would take to do this for every single song in existence!? Crazy enough, this is just part of how Pandora works. Other genres of music, such as world and classical music, have 300–450 genes.Īpparently it takes 20 to 30 minutes to categorize each song. Rock and pop songs have 150 genes, rap songs have 350, and jazz songs have approximately 400. Each gene corresponds to a characteristic of the music, for example, gender of lead vocalist, prevalent use of groove, level of distortion on the electric guitar, type of background vocals, etc. According to Wikipedia:Ī given song is represented by a vector containing values for approximately 450 “genes” (analogous to trait-determining genes for organisms in the field of genetics). Instead, Pandora created something called the Music Genome Project which is an effort to categorize songs by their attributes. Spies As it turns out, Pandora does not look at any of the information I listed below. Once you’ve determined what information you’d want, keep reading. So, think about what information you’d pick if this was your job. Would you look at which songs are being played the most on radio stations or selling the most records? Maybe where a person lives affects the kind of music they listen to? Does gender or age matter? The list of questions could go on and on. So, I want you to stop and take thirty seconds to think about what information you would use to recommend songs. The first part of the process requires the spies. I want to walk you through the process so that you can better appreciate the complexities of mathematical modeling. So, what if you worked for Pandora and they asked you to create a formula to predict which songs people have never heard but will probably like? Where would you begin? What information would you want to know? What would you do with that data once you had access to it? These are the topics I’m exploring in my spies and analysts post. After a little while, it seems to somehow know your taste in music better than you know it! This leads you to stay on their site longer, and as a result, they can play more ads or get you to pay for them to go away. ![]() They play a song for you, and you can give it a thumbs up if you really like it, thumbs down if you really don’t like it, or neither if it’s just ok. ![]() If you’ve ever used Pandora, then you know that it has an amazing ability to recommend music to you that you may have never heard but really enjoy.
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