Electronic commerce client evaluation judging and marking system

Abstract

The invention relates to the internet field, and especially relates to an electronic commerce client evaluation judging and marking system. The system comprises a client, a network connection device, an ID similarity judgment module, a content similarity judgment module and a false evaluation marking module. The client acquires relevant evaluation data information of a target commodity through the network connection device, and outputs the information to the ID similarity judgment module, the content similarity judgment module and the false evaluation marking module which are sequentially connected. Based on an ID similarity analysis of target commodity evaluations, the system determines whether evaluation content given by the same or similar evaluation IDs are the same or similar through the content similarity judgment module; if the evaluation content is the same or similar, the system determines that the IDs giving the same or similar evaluations are the false evaluation IDs; and the system timely marks the false evaluation IDs and the corresponding evaluations through the false evaluation marking module. The system can automatically indentify the false evaluations from the target commodity evaluations.

Description

technical field [0001] The invention relates to the Internet field, in particular to an e-commerce customer evaluation judgment marking system. Background technique [0002] In modern times, with the popularity of the Internet, e-commerce has become a widely used commercial trade method. Buyers and sellers mainly conduct transactions through e-commerce websites or software. Since e-commerce does not have traditional physical stores and does not require a high number of sales staff, it can control operating costs better than traditional transaction models, and thus has a greater price advantage. However, in order to improve their sales, many unscrupulous merchants hire professional review teams and create a large number of false reviews to falsely promote their products, thereby deceiving consumers to increase their real sales. [0003] At present, e-commerce is developing rapidly and has a huge volume. There are a large number of sellers in the e-commerce environment. It i...

AI Technical Summary

Problems solved by technology

However, in order to increase their sales, many unscrupulous merchants hire professional evaluation teams and create a large number of false evaluations to falsely promote their products, thereby deceiving consumers to increase their real sales.

[0003] At present, e-commerce is developing rapidly and has a huge volume. There are a large number of sellers in the e-commerce environment. It is difficult for users to judge the authenticity of product descriptions when making purchase decisions, and they are highly dependent on product reviews. The buyer's loss of interests caused by the inflated performance of the product is serious

Under such circumstances, how to identify and judge cheating behaviors of merchants in e-commerce has become an urgent problem in the development of e-commerce; how to improve the accuracy of judgment in the process of judging false evaluations and avoid misjudgments It is also a very important consideration; at present, there is still a lack of accurate and effective related equipment in the existing technology to realize relevant judgments

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