Google Play Music Redesign Uses Machine Learning
After the overhaul of Newsstand few days back, it is the Google Play Music app that has got a redesign now. It is now smarter, easier to use, and much more helpful. The same machine learning smarts leveraged by other Google products which is responsible for it all.
- Fariha Khan
- November 15, 2016
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Google Play Music employs machine learning to find out what songs you like and then factors in signals (weather, location, activity) with hand-picked playlists to give custom-made recommendations anytime, anywhere. Focusing mainly on context, choosing the new features will provide personalized music based on your location and the objective of your listening. That includes all ranging from relaxing at home, flying, commuting, and more.
The new iOS and Android apps have a new homescreen where you can find these recommendations. But, that appears to be the range of the visual changes for mobile. On iOS ‘My Library’ appears to be same. The Android app does see a more noticeable search bar on the main screen which helps to make voice search faster.
Subscribers who pay will enjoy additional features such as an updating offline playlist based on what they have been listening to. Just as with other machine learning-based recommendations, the more you use the Play Music the accuracy will increase.
On the web, on the other hand, there is a more noteworthy visual refresh with a switch to a white app bar. ‘Recently Activity’ is smaller with smaller covers of albums. Scrolling down to “Late Sunday night” and “Playing Video Games” does change the background shade. The redesigned Google Play Music will be available for Android, iOS, as well as the web this week.