A method for calculating the reputation value of online commodities, a network trading platform, and a computer

Abstract

The invention belongs to the technical field of e-commerce, and discloses a reputation value calculation method for online commodities, a network trading platform, and a computer, including malicious evaluation detection, user interest degree evaluation, and reputation value calculation. The invention detects a slight change in the evaluation model by using the two-phase detection theory, and can handle the situation when malicious users evaluate all commodities maliciously, and can also deal with the situation when malicious users only maliciously evaluate target commodities. The present invention determines the weight of different user evaluations by comparing the similarity between the target item and the user evaluation item, which can more accurately reflect the degree of interest of the user in the target commodity and the reliability of the user.

Description

Technical field[0001]The present invention belongs to the field of e-commerce technology, in particular to a reputation value calculation method, a network trading platform, a computer.Background technique[0002]With the vigorous development of e-commerce (EBAY, Amazon, Taobao, YouTube, Netflix, etc.), according to the report of the E-Commerce Foundation, there are more than half of the people who use the Internet in most parts of the world. Experience in online shopping. E-commerce has a great potential to promote economic development, bring convenience to people's daily lives. As the online trading platform provides more and more products and services, consumers' choice is getting bigger and bigger. At the same time, at the same time, there is a fake product with a benefit-oriented seller. For the driving of economic interests, a large number of sellers are willing to give their own highly high evaluation, and the evaluation of their competitors is very low; abnormal evaluation is ...

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