'My frog, it's out to travel'
'My frog, where is it going?'
'My frog, why is it not coming back?'
Recently, a circle of 'frogs' has been blowing up in the circle of friends, and everyone is looking for their son. In fact, this is a particularly popular hand-travel "frog for travel" created by the Japanese team. The game does not require much effort on your part, you just have to give them different foods to get out and travel, and all you have to do is expect them to send you the stars back to you.
With the popularity of this game, cottage piracy how to miss, for a time cottage popular, misled many consumers, causing harm to them.
Of course, pirated games are more than this one. If you have ever noticed, not only "travel frogs", many phenomenon-level applications have had similar cottage piracy .If you look closely, you will find that they are often dressed in the original game Coat, do trickery to pay for your download (or steal privacy) of course, this cottage, in addition to cheating time, in fact, is also a genuine developer and user of both joint injuries.
Google show killer 锏 remediation cottage application?
After the "Traveling Frog" swept the country, there are many cottage apps appearing in both App Store and Google Play, which are usually not the case after the official approval is passed and later on the market The introduction is exactly the same as it is difficult to judge.Only when people download and use it to find out whether it is fake and shoddy products, which gives a lot of mischief developers a chance to earn 'black money'.
So, how to combat cottage applications, but also the core task of these enterprises.At last, Google decided to try to use AI technology to solve this chronic illness.
On January 30, Google's Developer Blog, Google announced that they are using the new machine learning technology to change Google Play's problems in 2017. The most important point is that the user has not downloaded the application Before, through the new technology to discover some bad App and handle.
This AI technology, you can use machine learning, the following types of applications to make the following judgments:
First, the cottage application
The cottage application should be the most familiar and annoying type.Generally speaking, this application will make some very speculative settings on the keywords to get the traffic generated by the search, and lure you to install.
Google, on the other hand, uses machine learning technology to identify and detect 250,000 cottage apps by app screening of app icons and content descriptions in 2017.
Second, unhealthy application
Unhealthy apps have a lot of content that is bloody, violent and antisocial, and manual reviews are hard to spot.
If you use a machine learning model, you can discover these applications and discover the developer's information so you can tag them instantly and effectively before they go live, giving you a safe and healthy app store.
Third, potentially harmful applications
If the first two categories give users perceived harm in terms of content, potentially unwanted applications make them hard to detect, such as Trojans and phishing programs, which tend to compromise the device, spoof or sneak SMS after user use Equipment data, etc., with a strong hazard.
Although not too many of these applications, Google is still using machine learning algorithms to filter out some of the relevant information, and in 2017 the PHA interception efficiency increased by 50%.
By AI learning technology, to deal with various dangerous events in advance to minimize the risk factor.According to the data, in 2017, the number of Google Play applications over 3.5 million, while the App Store has 2.2 million.
Therefore, whether it is for Google or Apple, the current app store boom behind how to solve the user may have these dangers, is the most concern.
AI technology helps solve more dangerous events
As we all know, the application store has become the main channel for users to download software, however, in addition to users in the Mass App find what they need takes a lot of time, full of low-quality App also allows users and excellent developers to lose the mall Confidence, damage the interests of users and developers.
Google uses machine learning technology to solve these problems, not only through the new technology to delete more bad App, also be able to identify and take action earlier, while the iPhone is actually trying to solve these problems, after iOS 10, App Sotre Not only added daily recommended card-type content, but also recommended a more refined introduction to prevent the above situation.
Both are through human intervention with machine learning filtering, allowing users to create a better experience.Does this mean that people can use AI technology to minimize the risk of harm?
The answer is yes.Although the current AI technology has not been fully set up, but the number is now rich enough, people just need better screening, just, AI technology through continuous learning, will do Getting better and better.
Not only that, in addition to reducing the risk in the application store, AI technology with machine learning in the future also has a broader market, transportation, health care, and our daily life, are facing certain risks, and through technology, can be as risky as possible Reduction, give us enough security and the most healthy environment for the experience,
Although there are many uncertainties in the future, the correct application of science and technology can indeed help us solve more problems and help us solve more dangerous events.
Future AI, say 'Hi' to you!
