Device identifier code and social group information-based faked sales detection method and system

Abstract

The invention provides a device identifier code and social group information-based faked sales detection method and system. The method comprises the steps of obtaining social group information in a social platform and interactive information of consumers and commodities in an e-commerce platform in a certain time period, wherein the social group information comprises social accounts, groups wherethe social accounts are located, and device identifier codes used when the social accounts are subjected to social contact, and the interactive information comprises interactive accounts, interactivecommodity identifiers, and device identifier codes used when the interactive accounts are subjected to interaction; according to correlation between the device identifier codes, matching the social accounts with the interactive accounts; obtaining multiple to-be-detected transaction records of a commodity, selecting the social accounts corresponding to the interactive accounts subjected to transaction, judging whether a group relationship exists or not, and if the groups where the social accounts are located are same, preliminarily judging the corresponding transaction as faked sales transaction. An organized faked sales behavior performed by a faked sales organization through social platform software can be effectively detected.

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

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