Identify the true and false of product information

Source: Internet
Author: User
Keywords Small deal
Tags .mall apps based development digital digital products information information technology

With the rapid development of network information technology, online shopping has been deep into all aspects of people's lives, from food and beverage to household appliances digital, from books and toys to second-hand car, clothing bags to the virtual recharge ... as long as you can think of, can be passed Internet purchase.

However, online shopping products can only be based on a few photos and a few words of the product description, or buyer reviews to determine the true and false goods, is true or false, really difficult to distinguish. In particular, such as digital products or Wen play string must be handled in order to determine the authenticity of the items, but also need to have a pair of "golden eyes"

The small transaction APP provides a series of transaction protection, allowing users to easily identify the true and false of product information. Start mobile phone? No problem.

Select the favorite paragraph, you can use the small transaction began to discern. Look at sellers have not involved in transaction protection plan, this one includes authentication and margin and other measures. See the yellow security words, the first pass through the count, you can continue.

Calculate the sentiment with the seller, the score based on the distance between the two sides of personal information, the integrity of personal data, the availability of location information and history of the transaction records and other dimensions derived.

Of course, if the distance between the two sides is particularly close, it is entirely possible to inspect the person in person. If the distance is too far, you can see which friends of the transaction provide an endorsement.

Because of the mechanism Inviting Friends to Help, if you find that many of your products have been recommended by many mutual friends (that is, the sign of approval), you can think of the product publisher as being at least personally credible.

Small trading on the transaction information based on a certain matching algorithm to determine the use of a number of measures to protect the transaction, do not fly information will be excluded from your field of vision, to identify the authenticity of the product information is so simple.

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