Tuesday, November 15, 2016

Google Music Using Big Data To Build Playlists

Wired reports: [edited]

Google knows where you are, what you’re doing, what you’re thinking and watching and searching for and chatting with your friends about. Which means nobody should be better equipped to soundtrack every second of your life than Google Play Music. The company’s taking advantage of its smarts to deliver you the sounds [it thinks ed.] you want.

Next time you open Google Play Music on any device, the first thing you’ll see is a list of playlists you might like, plus a short description for why the app made any given selection. It’s a bit like Google Now, the predictive feed of everything you probably want to know about right now, except fully focused on music. Think of it as a super-smart, hyper-personalized set of radio station presets. Just open the app, tap one, and go.

To do all this, the Play Music team is tapping into the full Google Data Machine for the first time. It’s choosing playlists by looking at the music you’ve listened to before, of course, but also your search history, your YouTube plays, even what’s in your email and calendar. It considers that data alongside things like time of day, location (a bar is different from a library is different from your office), the weather, and more. So you like classical at work, but you need a boost because it’s raining and you’ve been in meetings all day, plus it’s almost time to get to the gym? Play Music might show you Epic Movie Scores, followed by your favorite workout jams.
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