Rapid store site selection method and device based on similarity extension, and storage medium

Abstract

The invention discloses a rapid store site selection method and device based on similarity extension, and a computer readable storage medium, and the method comprises the following steps: taking an existing store whose operation effect meets a preset condition as a seed store, and obtaining the operation related features of the seed store; performing feature selection on the operation-related features of the seed store by adopting a feature screening method to obtain main features of the seed store; performing feature matching in a store database by using the seed store to obtain a positive sample, and selecting a negative sample in the store database according to the positive sample; expressing the positive sample and the negative sample by using the main characteristics, and training a classification model by using the positive sample and the negative sample; classifying the candidate stores in the store database by using the trained classification model, and returning a preset number of classified candidate stores. According to the method, the improvement of the store site selection effect is realized, the site selection cost is reduced, the site selection efficiency is improved, and the effect of quickly selecting the store site is achieved.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to a method and device for fast store location selection based on similarity extension, and a computer-readable storage medium. Background technique [0002] The overall scale of China's retail industry is huge, with low industry concentration and fierce peer competition. It is on the track of brand and chain development. A large number of single-handedly small shops will be eliminated, and a small number of high-quality enterprises will continue to expand with the help of brand and scale advantages. For enterprises that need large-scale expansion, the rapid location selection of stores is particularly important, and the quality of store location will greatly affect the quality of store operation. [0003] For store location selection, the current commonly used method is to obtain the characteristics of existing stores, cluster the existing stores according to the...

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Problems solved by technology

[0004] The embodiment of the present application solves the problem of poor store location selection effect in the traditional technology by providing a fast store location selection method and device based on similarity extension, and a computer-readable storage medium, and realizes the improvement of the store location selection effect , and reduced the cost of location selection, improved the efficiency of location selection, and achieved the effect of fast location selection of stores

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