False comment judgment system based on comment content and ID recognition

Abstract

The invention relates to the field of internet and especially relates to a false comment judgment system based on comment content and ID recognition. The system includes a client, a network connection device and a false comment judgment system. The client acquires related comment data information of a target commodity through the network connection device and outputs the comment information to the false comment judgment system which includes a comment content similarity judgment module and a comment ID similarity judgment module. The comment content in the target commodity is recognized through the comment content similarity judgment module and similar comment IDs are recognized through the comment ID similarity judgment module, and therefore a large amount of false comment given by professional comment givers can be recognized. Automatic recognition of false comments of the target commodity can be realized and a simple and reliable comment recognition tool is provided for e-commercial environment managers and commodity buyers.

Description

technical field [0001] The invention relates to the Internet field, in particular to a false evaluation judging system based on evaluation content and ID identification. 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-...

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 the fraudulent evaluation behavior of merchants in e-commerce has become an urgent problem in the development of e-commerce; there is a lack of first-pass equipment that can effectively identify false evaluations

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