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Saturday, 19 November 2016

Google Play Music now uses machine learning to suggest songs

GooglePlay Music will now use machine learning and contextual tools to suggest music you like. Users can opt in to get access to personalised music based on their location, activity and weather. “Your workout music is front and center as you walk into the gym, a sunset soundtrack appears just as the sky goes pink, and tunes for focusing turn up at the library,” explained Elias Roman, Lead Product Manager at Google Play Music. Also, the home screen of Google Play Music has been revamped to show music you like at the top. The feature is powered by Google’s machine learning systems that keeps getting better with time.
Google Play Music works offline as well. The app looks at songs you’ve recently listened to and curates an offline list for when there’s no Internet connection. “As long as you remember to charge your phone, you’ll have your favorite tunes, even if you forgot to download them ahead of time,” said Roman. The new version of the Play Music will be rolled outstarting this week on Android,iOS and the web. It will be available in 62 countries globally.
Google had earlier announced it is looking to sharpen Play Store recommendations with artificial intelligence and expand support for various payment platforms, among other initiatives. The Play Music update is an indication company’s plans have started to materialise. Also, the Google Play Store is also expanding to new platforms, including wearable devices, virtual reality headsets and Google’s Chromebook laptops.

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