Big data killing behavior will be banned from October 1st! How do you see if you have been killed?

Compare with two software. Register two with different identities, and then, according to the comparison of the software, you can find out whether it is ripe.

First, compare ** on the whole network, and find the lowest ** of the same type for comparison. Second, open two accounts to compare the same product. Third, put a few more items of the same type in the shopping cart, which one drops and which one buys, and disguise yourself as a sensitive customer.

I very much agree with this ban, big data killing is unknowingly, completely subverting our own acquaintance cheap concept.

This killing is actually very easy to understand, take an online car-hailing platform as an example, I often take a taxi, and you don't often take a taxi. One day, if we both set the same destination and starting point at the same time, we will find that my estimation may be much higher than yours. This is the so-called big data killing, which is reflected in all walks of life and all kinds of software that you use in your daily life.

One. If you want to choose the most favorable policy for netizens in 2020, then the explicit ban on big data killing is definitely the most likely one to be selected. For a long time, affected by the killing of big data, netizens are miserable and have nowhere to tell.

You just say that the membership of a takeaway platform, the newcomer may be able to buy a one-month membership for three or four yuan, and the old customer is 15 yuan, but if you don't renew it when it expires, it may become 10 yuan in two days.

For example, people who go out to live in a hotel and often go to a place on a business trip, take their mobile phones to see ** must be far more expensive than people who have never been there, as little as dozens or hundreds, which should not be spent more, just because they are regular customers, they are so pitted by the store.

Killing ripeness refers to the fraud and discrimination of merchants and platforms against old customers who have economic ability and consumption needs. For the same products and services, the first to the old customers is higher than the new consumers.

The most serious killing is Jingdong and Meituan,Jingdong's killing is generally ** premium of about 5,There are actual legends showing that Meituan's killing premium is about 3,In short, killing maturity is a shameful behavior。

Eleme, Ctrip, ** and other killings are the most powerful, I have been killed when I order, I have been killed in traveling, and I have been killed in shopping, sad and urging.

Because people rarely consider their own consumption behavior in the process of consumption, and their own information exists on major Internet platforms, this phenomenon will occur.

Because they use big data to kill familiarity, users are used to this platform and like to use this platform, so they feel that they will not give discounts if they retain this user.

Big data, many people have basically only heard of this word, think it is very powerful, and do not understand what it can do? In layman's terms,It is a huge amount of statistical calculations that can accurately obtain the required information. And this technical means is used on the right path, that is, for the benefit of the people, and if it is used crookedly, it can be accurately killed.

01. Big data killing behavior should know that in the Internet information age, everyone's life trajectory is basically within the statistics of big dataIn particular, the more urban your life is, the more accurate the big data will be about you.

Then, after big data has mastered your habits through accurate data analysis, it will try to recommend cheap takeaways, hotels, air tickets, etc. to you at the beginningAfter you use it a few times, big data will automatically improve the consumption of these productsLet you pay with **.

For example, if you go out to travel, check the pre-purchased hotel on the Internet, at first it will recommend cheap hotels, and after you browse the five-star hotels a few times, even if you don't order, then the recommendations to you are basically all high-ranking hotels. In terms of airfares,Some platforms are mentioned up every time you browse them.

In addition, if you use some ride-hailing software, then under the premise of the same distance and vehicle, users who use more expensive Apple mobile phones will be more expensive than other mobile phones.

As soon as this regulation comes out, it will inevitably strike a blow to the undesirable phenomenon of big data killingIt can effectively protect our legitimate rights and interests and make our consumption saferDon't worry about being scammed. If we encounter big data killing behavior in the future, we can propose 3 times the compensation according to the law, at least 500 yuan.

To be expected,After big data killing is banned, our lives will become more comfortableAt the very least, we don't have to worry about being treated as a fat sheep, and hope that big data can be more effectively regulated, so that it can better serve the society and promote social progress.

This has a great impact on our lives and has brought us a lot of benefits, big data killing, it has appeared in Meituan, and for some old customers, the same thing will be more expensive.

Big, big data killing makes many people buy things much more expensive than others in the stores they often go to, which is an act of deceiving consumers, and big data killing is prohibited, which may better protect the interests of consumers.

It has a great impact, and big data kills ripeness so that I can buy services or products that don't correspond to expensive **. After this ban, we can spend the corresponding **, and we don't have to spend unjustly money.

I think it's necessary to ban big data killing. Big data killing has seriously endangered the rights and interests of consumers, the phenomenon of big data killing ripeness, exists in all aspects, people who do not order takeout suddenly order a takeaway will have a large amount of coupons, people who do not shop online for a long time will receive larger coupons than people who often shop online, etc., and so on, and in the face of this situation, want to ask for an explanation like the merchant, the merchant is also using the excuse of "the product is flexible", "the coupon is random" and other excuses to prevaricate the past, and finally become the more things I buyThe more money I have to spend, which is unfair to consumers and seriously infringes on the rights and interests of consumers.

"Big data killing" is actually to the point of deceiving consumers and even fraud. Originally, through big data, it should better serve consumers, but through big data, merchants judge the degree of dependence of customers on themselves, and at the same time price through web pages, so that a thousand customers have a thousand **, and even some customers have been deceived by merchants for a long time. To a certain extent, this also violates consumers' right to know and harms the legitimate rights and interests of consumers.

Big data is also because of the transparency of the online world, which makes the relationship between merchants and customers unequal. Merchants have a large amount of personal information of consumers, and consumers are transparent in front of merchants, and sometimes merchants not only expose consumers' consumption habits, but even a lot of personal information is leaked from merchants. The prohibition of big data is also to regulate the impact of big data on consumers, so that big data can serve the people in the sun as much as possible.

I think it is necessary for big data to kill ripeness, but whether it can achieve results is actually a long way to go, which also requires relevant industries to strengthen the supervision of the network, so that big data can benefit and serve the people within a reasonable range.

The explicit prohibition of big data killing is a powerful blow to the chaos of killing maturity in some industries. This regulation will effectively protect the legitimate rights and interests of consumers, maintain the normal order of the industry and promote the healthy development of the tourism economy.

Good thing. This kind of behavior should have been banned a long time ago, and since you have such treatment as a member, you must be very dissatisfied, and this kind of behavior should have been banned a long time ago.

I think this kind of behavior will affect the normal transfer of some Internet companies, and it is inconvenient for them.

Big data kills ripeness means that you buy more things in one software, and your ** will be higher and higher when you buy the same thing with others in the future, which is obviously unfair to consumers.

In response to the phenomenon of "big data killing", some experts have proposed some solutions:

Or, re-register a new account; Then there is multi-platform comparison, don't place orders easily;

Summary: With the continuous development of China's Internet and the gradual implementation of 5G intelligence, big data will play a very important role in more and more scenarios, but at the same time, the application of this kind of data should be used more in social development, enterprise efficiency and other more helpful and meaningful things, rather than being used as a marketing tool to seek more benefits or better squeeze labor.

It is the same service or hotel products, and the phenomenon that old customers see will be much more expensive than what new customers see, which is called big data killing. Especially for some hotel takeaway software, the recommended homepage of old users will be a little more expensive.

Big data killing behavior is simply and popularly speaking, I trust you to support you, but you pit me, that is, the same service and the same product, for the old customers to see the ** is much higher than the new users see, this is the big data killing behavior, due to its complexity and concealment, there are indeed difficulties in the proof of rights protection, so fundamentally speaking, it is the injured are the old customers.