I think Tmall has killed the familiar, the price went up when I bought something before and bought it again.

The so-called big data killing is the use of big data to slaughter acquaintances. Generally, older customers see more expensive prices for the same goods or services than newer customers. The most straightforward way to do this is to watch people eat, personalizing pricing based on user identity, browsing habits, devices used, consumption history and other portrait messages, such as differential pricing for membership services to video platforms for Apple and Android devices. Then, for example, e-commerce platforms find that the more high-end items purchased, the higher the price and the fewer the discounts. Indirect methods will determine purchasing power/willingness to buy/decision making habits based on the dynamics of user behaviors such as searching, browsing, and shopping cart operations, and make temporary price adjustments. More common on product/service platforms where prices change dynamically.

The purpose of an e-commerce platform is to allow users to spend more money to get the same goods/services in order to maximize revenue. So how exactly did the big data kill-off evolve? According to the claim, the technical principle of big data killing is essentially big data. That is to say, after analyzing the user's basic data, behavioral data, etc., you can draw a roughly complete digital portrait for each user, including user registration and personal information, geographic location, consumption records, search habits, etc., and then based on the user Portraits can accurately identify and classify the user and turn on the personalized recommendation through the recommendation algorithm and show a higher level of consumption to the users with high consumption capability and strong The user with high consumption ability and strong willingness to consume show higher prices, which involves the following to the user's personal privacy issues.

In other words, the reason e-commerce platforms are suspected of killing big data is because they have a large amount of user data, and this data hegemony provides them with evidence of user profiles. Those who suspect their big data of ripeness are not without reason; according to Weibo users, in addition to exclusive coupons for new users, users who buy VIP memberships will be charged different prices for the same product, and some users will incur different costs due to different phone configurations. The previously mentioned big data killing algorithm must lead people to suspect that big data killing is suspected in Tmall Supermarket, therefore, netizens hope that Tmall can provide a more convincing explanation.