Merchant business area information calibration

Abstract

The invention relates to merchant business area information calibration, and belongs to the technical field of data processing. The merchant business area information calibration method comprises the following steps: mining and calculating the association rules of consumption transaction data of consumption users to acquire the association relationship information between merchants; calculating the dependency rate of merchants of which the business area information is not calibrated among the merchants based on the association relationship information and the calibrated business area information of at least part of merchants among the merchants; and calibrating the business area information of each merchant based on the dependency rate of the merchant. The merchant business area information calibration method of the invention can be implemented automatically, and has the characteristic of accurate and efficient business area information calibration.

Description

technical field [0001] The present invention belongs to the technical field of data processing, and relates to the processing of consumption transaction data to calibrate business district information of merchants, and in particular to obtaining association relationship information of merchants through association rule mining and calculation of consumption transaction data, and marking merchants based on the association relationship information business district information. Background technique [0002] Business districts are usually divided according to the range of commercial areas in a city, and there are various levels of business districts, such as core business districts, secondary business districts, and fringe business districts. The location information of a merchant is usually expressed in the form of business district information, for example, a certain merchant is usually assigned to a certain business district, so as to mark the business district information of...

AI Technical Summary

Problems solved by technology

The most direct disadvantage of this kind of manual entry of business district information is that the workload is huge and complex, requiring a lot of labor and time costs; the second shortcoming is that the entry standard of business district information is uncontrollable, and different people may Different standards are used to input business district information, which brings difficulties to data cleaning and analysis in the follow-up process; the third disadvantage is that the input quality of merchant location information is uncontrollable. Under the background of manual input, many merchants will There is a phenomenon of providing wrong business area information, and there will also be errors or omissions in the merchant’s business area information caused by the inputter’s mistake or subjective error

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