Yesterday, I was chatting with a friend from the public security department, and I realized how awesome big data is for detecting pornography. You know how awesome big data is. Especially male compatriots must pay attention. What does that mean? Suppose a woman receives regular p

2024/05/2019:39:32 technology 1939

Yesterday, I was chatting with a friend from the public security department, and I realized how awesome big data is for detecting pornography. You know how awesome big data is. Especially male compatriots must pay attention. What does that mean?

Yesterday, I was chatting with a friend from the public security department, and I realized how awesome big data is for detecting pornography. You know how awesome big data is. Especially male compatriots must pay attention. What does that mean? Suppose a woman receives regular p - DayDayNews

Suppose a woman receives regular payments every day on WeChat, and the amount of payment is relatively fixed. Most of the places where payment is collected are in high-end hotels or high-end apartments or communities. People between the ages of 18 and 35 have no fixed jobs. Every time I arrive at the hotel, someone will pay me. Sorry, you have been marked suspiciously by big data. What mark is it specifically? I think everyone should know that some male compatriots who have that hobby may have started to tremble.

Yesterday, I was chatting with a friend from the public security department, and I realized how awesome big data is for detecting pornography. You know how awesome big data is. Especially male compatriots must pay attention. What does that mean? Suppose a woman receives regular p - DayDayNews

Here comes the point, everyone who has a transfer record with this girl on WeChat. They will also be included in the monitoring list. What if, every time, someone calls this woman, and after the call, he quickly transfers the money to this woman. And the amount of money paid every day is about the same or the same amount. Then it is very likely to be characterized as "Mommy". In addition, people who have had financial transactions with them will also be included in the monitoring list, and no one can escape. Through big data analysis, first mark the trading accounts in the time period from 10pm to 4am the next day. Then put it into a period of time, such as a quarter or half a year.

Yesterday, I was chatting with a friend from the public security department, and I realized how awesome big data is for detecting pornography. You know how awesome big data is. Especially male compatriots must pay attention. What does that mean? Suppose a woman receives regular p - DayDayNews

How many times have such transactions occurred during this period? If they are frequent, such users will be marked. Because they are very likely to be involved in pornography. If the monthly transaction amount in an account is very large. And if more than 70% of the amount meets the above characteristics, then this account is most likely to be involved in pornography.

Yesterday, I was chatting with a friend from the public security department, and I realized how awesome big data is for detecting pornography. You know how awesome big data is. Especially male compatriots must pay attention. What does that mean? Suppose a woman receives regular p - DayDayNews

Of course, if it’s just once or twice, I don’t know if I’ll get away with it. But I think this is not the reason why you can break the law. A moment of excitement may bring a lifetime of pain. Protect yourself and your family, do it and cherish it. I hope everyone has a happy, harmonious and happy family.

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