Business personal recommendation system

Abstract

The invention, which belongs to the field of electronic commerce, provides a business personal recommendation system so that buyers are guided correctly to carry out selective consumption when the Internet water army make disturbance in the comment area. The system comprises a client A, a server and a client B. The server includes an order generation module, a recommendation module, a comment module, an integration module, and a storage module. The client A purchases a product through the order generation module in the server, enters the comment module to generate user comment information of auser A, and stores the information into the storage module, and enters the recommendation module to input user personal information of a user B; the recommendation module sends the user personal information and user comment information of the user A form the storage module as well as production information to a communication module; and the communication module forwards the received information to the client B. Therefore, the real and effective reference is provided for the user B at the client B.

Description

technical field [0001] The invention belongs to the field of electronic commerce, and in particular relates to a personal recommendation system for business use. Background technique [0002] E-commerce refers to a wide range of commercial and trade activities around the world. Under the open network environment of the Internet, based on browser or server applications, buyers and sellers conduct various commercial and trade activities without meeting each other, so as to realize online shopping of consumers and exchange between merchants. A new type of business operation model for online transactions and online electronic payments, as well as various business activities, transaction activities, financial activities and related comprehensive service activities. [0003] Just because e-commerce is a face-to-face business activity, the commodities traded cannot be directly displayed in front of buyers, and buyers cannot judge the real situation of the commodities. To this end,...

AI Technical Summary

Problems solved by technology

[0005] However, the above-mentioned analysis and processing methods are mainly aimed at the situation that the reviews are true and effective. In real life, there will be some unscrupulous merchants who use the form of buying trolls to increase the number of positive reviews and sales, thus misleading buyers.

Therefore, the above-mentioned analysis and processing method of online shopping reviews cannot correctly guide buyers to consume when merchants use trolls to disrupt the comment area.

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