Recently, Google still aggressively promoting high-quality apps in Google Play. For the most part this is due to a decrease in the search for a rating of substandard programs. Now the company has introduced a system through which the departing and braking applications will be at the bottom of the list.

If you look at the rating of the best applications or in search results, you are much less likely to see the top of the program that is unstable or has a lot of bad reviews. When creating the so-called "quality signals," Google pays attention to "performance data, user engagement and user ratings".

This is part of Google's global plan to promote quality Android apps. In the previous month, for example, the company began using machine learning to detect programs that request extra permissions. Also, the Californian giant launched the Android Excellence program, in which experts independently choose the best applications and form a selection of them for users.

This plan for the most part consists of the actions of machine learning algorithms.

Many have long had the impression that Android apps are inferior in quality to applications for iOS. Google fights this with the help of its favorite tool - artificial intelligence.

Innovation is an easy way to convince developers to better test their applications. Nevertheless, it is not clear whether the author of the program will be able to find out if his program was at the very bottom of the rating due to crashes and errors or for some other reason.