Google Play Music big update! Use deep learning to pick out the most suitable BGM

What song is best for rainy days? What songs can I go to the gym to keep you on the treadmill for more than half an hour?

For the hard choice of music, it is a bit of a brain to choose what kind of playlists in different environments. Now, Google wants to use artificial intelligence to help you make choices.

Google Play Music big update! Use deep learning to pick out the most suitable BGM

According to foreign media reports such as The Verge and Cnet, the much anticipated Google Play Music has finally had a major update. The updated Play Music is able to recommend a list of songs to the user based on weather conditions and geolocation. It is understood that Google will gradually introduce a new design to the Android, iOS and web version, and has a machine learning ability of the Play Music application.

When the user clicks on the app to start listening to music, the new version of the music management tool will use deep learning technology to measure the environment and ongoing activities of the user, and also consider the factors including the weather for the user. Carefully arrange a song list suitable for the mood.

Of course, in order to avoid the user's data privacy violations, the premise is that you are willing to let Google get your data. The option to open this service is in the hands of the user.

Google Play Music big update! Use deep learning to pick out the most suitable BGM

Google explained in a blog post that once the user chooses to enable this feature, Play Music will start contextual recommendation (TI), providing personalized music services based on where you are and playing music.

For example, when you are resting at home or on the way to work, or on the plane, Google is likely to recommend some soft sleep songs to you. And when you step into the gym and start exercising, the power of the music will ring. When you read a book quietly in the library or work hard, the peaceful soundtrack will be released. In addition, the music you hear on rainy days and the ones you hear on sunny days will be different. Don't worry, even if you accidentally go offline, the app itself will arrange songs based on the songs you have been listening to recently.

In fact, Google has previously integrated machine learning technologies in many services, such as cloud photo storage service Google Photos and smart voice assistant Google Assistant. Play Music is another Google service that introduces machine learning to improve the experience. In fact, this feature is not uncommon in the music service market, at least its powerful rivals SpoTIfy and Apple Music have similar personalized song list customization.

I can't wait to know what kind of songs does Google recommend to match the cold weather in Shenzhen?

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