Predicting Exactly the Music You Want to Hear: A Frontier of AI
Let’s face it: there’s just too much music. Many of us spend too much of our time researching and looking for music that we don’t spend nearly enough time savouring it. Our attention spans have shrunk to that of goldfish and we’re often left sputtering like a dog on a loose rug. Music discover is a big deal in the industry today, which is why everyone from Apple and Google to Songza and Spotify are working on ways to help us sort through the clutter.
Billboard takes a look:
It’s not a totally new concept. Pandora’s genome project was first launched in 2000 to analyze and catalog a web of musical attributes. Apple launched its Genius feature in iTunes in 2008 using purchase history to recommend what you might like. Most digital music services today come with suggested artists and some sort of auto play function — and most of those services are, or were, being powered by Echo Nest data.
Advances have been made, but this is hardly an exact science. Keep reading.
