You may think why I need to integrate machine learning in Android Apps.We will explain some of the contexts where machine learning will be useful. Consider the situation,when your users are in the office,you shouldn't notify them to do something in your android application.So,you have to know the user context,so that you can avoid disturbing the users of your app.You may ask the user for his home location and store it.By using the awareness API,you can tell them to Play your game or do to something in Your Android apps when they are in home.
1.Awareness API
With the Google Awareness API, you can enable your app to intelligently react to the user's current situation. The Awareness API exposes 7 different types of context, including location, weather, user activity, and nearby beacons, enabling your app to refine the user experience in new ways that weren't possible before. Your app can combine these context signals to make inferences about the user's current situation, and use this information to provide customized experiences (for example, suggesting a playlist when the user plugs in headphones and starts jogging)...(Read more)
With the Google Awareness API, you can enable your app to intelligently react to the user's current situation. The Awareness API exposes 7 different types of context, including location, weather, user activity, and nearby beacons, enabling your app to refine the user experience in new ways that weren't possible before. Your app can combine these context signals to make inferences about the user's current situation, and use this information to provide customized experiences (for example, suggesting a playlist when the user plugs in headphones and starts jogging)...(Read more)
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