Judgment method based on big data processing to identify the uniqueness of entity account business location

Abstract

The invention discloses a judging method based on big data processing to identify the uniqueness of a multi-account entity business site. The data related to physical equipment reported by the business is stored in the database, and after a certain amount is accumulated, the historical data is obtained, and the data reported by the business and the historical The data is matched, judged according to the physical equipment attributes between different accounts, and the matching results are classified according to certain matching rules; accounts with a matching rate higher than the threshold will be identified as the same business site entity account, and those lower than Accounts with a threshold value are not considered as the same entity account. The invention helps the business to carry out channel promotion through the identification of the entity account, understands the market and the real coverage situation, and monitors the market change.

Description

technical field [0001] The invention belongs to the technical field of data processing and application, and in particular relates to a method for judging the uniqueness of a business location of an entity account based on big data processing. Background technique [0002] Account changes in physical business premises generally occur due to the fact that there are many free software and no binding of the user's unique account is mandatory. When there is no unique method for judging the physical business premises of Internet cafes, the problem we face is: one physical Internet cafe has used multiple Internet cafe accounts, but it is impossible to judge whether it is the same physical business place based on the information of the Internet cafe account information. The root of the need for Internet cafes to determine the uniqueness of physical business sites is that one physical Internet cafe can use multiple Internet cafe accounts of Internet Dimension Masters. This phenomenon...

AI Technical Summary

Problems solved by technology

When there is no unique method for judging the physical business premises of Internet cafes, the problem we face is: one physical Internet cafe has used multiple Internet cafe accounts, but it is impossible to judge whether it is the same physical business place based on the information of the Internet cafe account information

[0006] However, the disadvantages of the above method are: the owner of the Internet cafe can still manually modify the MAC address, which will reduce the matching rate of the modified Internet cafe computers, and the number of modified computers does not reach more than 30% of the Internet cafes. Theoretically, the results will not be affected. If the MAC address of more than 30% of the computers has been modified, a physical account will be added to mark the modified Internet cafe account

Another problem is that if more than 30% of the computers in a certain Internet cafe have not activated Netdimensional Master within a week, it will cause the reported data matching rate to be lower than the threshold, and a physical Internet cafe account will be added, but no physical business organization will actually be added. , that is, an Internet cafe account has a new physical account due to a MAC address change or low product activation, resulting in an Internet cafe corresponding to two physical accounts. In this case, we generally take the physical account with a high matching rate and mark it as an Internet cafe account.

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