Recently, a lot of users on the Internet have been reflecting that they have been "big data killed". The first time I saw this, I was able to see that it was a very good idea for me to get my hands on some of the most popular products and services in the world, and I was able to see that it was a very good idea for me to get my hands on some of the most popular products and services in the world. After investigation found that, in fact, in air tickets, hotels, movies, e-commerce, travel and other prices have fluctuations in a number of platforms, there is a similar situation. A similar phenomenon has received attention from major media and has been collectively referred to as ? Big Data kill familiarization?

So what is big data kills maturity?

Big data kill familiarization literally means the same service or commodity, ? The first thing you need to do is to get a good deal on a new product or service. The first thing you need to do is to get your hands dirty. The first thing you need to do is to get a good deal on a new product or service. to pay a better price.

The reason for this is that under a personalized recommendation system, e-commerce platforms are offering the same services and goods at a better price than the original customer. The reason for this is that under a personalized recommendation system, the e-commerce platforms are recommending to the "familiar" customers.

The reason why big data kills is because under the personalized recommendation system, e-commerce platforms recommend high-end products or services to familiar customers, for example, they tend to face familiar customers to introduce higher-end services or commodities, which is mostly due to induced consumption, and the other reason is that they will implement price discrimination to familiar customers and give them higher offers.

For these two reasons, from the induced consumption point of view, the increasingly sophisticated technology and algorithms of online platforms have greatly reduced the average search cost of consumers, but there is a serious information asymmetry between the platforms and consumers, leading to the platforms in the theory of it is entirely possible to misleading recommendations or distorting the normal consumer experience, and thus unduly benefit. In response to this, consumers can masquerade as ? price-sensitive? users, when consuming, they should look for coupons and get discounts before placing an order, so that the platform can be reverse induced to give more red packets and coupons for placing orders distributed to this user,? Price-sensitive? The probability that the user will get more red packets and discounts. From the price discrimination reason to book, the user can target the same goods or services, can be searched in multiple platforms, comparison, which is conducive to the user to get more favorable.