Method and system for detecting swiping orders based on device identification code and social group information

Abstract

The present invention proposes a detection method and system based on device identification codes and social group information to obtain social group information on social platforms and interaction information between consumers and commodities on e-commerce platforms within a certain period of time; social groups The group information includes the social account, the group of the social account, and the device identification code used when the social account has social contact; the interaction information includes the interactive account, the interactive product ID, and the device identification code used when the interactive account interacts; according to the device identification The association between the codes, matching each social account with the interactive account; obtaining several transaction records of a product to be detected, selecting the social accounts corresponding to the interactive accounts that have transactions, and judging whether there is a group relationship, if there are several social If the accounts belong to the same group, the corresponding transaction will be initially judged as a brush transaction. It can effectively detect the organized brushing behavior of brushing organizations through social platform software.

Description

technical field [0001] The present invention relates to the field of e-commerce information technology, in particular to a method and system for detecting swiping orders based on device identification codes and social group information. Background technique [0002] Today, with the rapid development of e-commerce, online shopping has become very popular. While consumers enjoy the convenience brought by e-commerce, they are also deeply affected by the reputation fraud caused by the rapid development of e-commerce. At present, the issue of bill swiping has become an important obstacle to the development of e-commerce, especially the occurrence of fraudulent bill swiping incidents, which has destroyed the trust mechanism of e-commerce and the market order of fair competition, and seriously hindered the healthy development of the e-commerce industry. [0003] E-commerce brushing means that e-commerce sellers use false transactions, fake reviews, etc. to quickly increase data ind...

AI Technical Summary

Problems solved by technology

Traditional methods of identifying false transactions are often helpless when dealing with this type of new type of organized false transactions

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