Service district recognition method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a service district recognition method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining an interest point setcorresponding to a target industry in a target area; calculating a distance matrix corresponding to the interest point set, wherein the distance matrix comprises distance information between every two interest points in the interest point set; and performing service district clustering recognition on the interest point set according to the distance matrix, and outputting service district information. In the embodiment of the invention, clustering recognition is performed on the interest point set through the distance matrix of the interest points corresponding to the target area and the target industry, quick and efficient recognition of the service district of the target industry is realized, recognition of regional service districts of different scales and sizes is supported, and the applicability is high.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a business circle identification method, device, electronic device and storage medium. Background technique [0002] Business circle is the sphere of influence of commercial enterprises to carry out business activities, focusing on expressing that business circle is the spatial scope of business activities of commercial enterprises, which is equivalent to the concept of business agglomeration area. The sales activities of stores usually have certain geographical boundaries, that is, there are relatively stable business districts. Different stores have great differences in the size and shape of their business circles due to differences in business commodities, traffic factors, geographic locations, and business scales. Even for the same store, different factors may cause changes in the business district at different times. For example, competition in the original busine...

AI Technical Summary

Problems solved by technology

[0004] At present, traditional urban business districts are generally divided according to public perception, such as the Central Business District (Central Business District, CBD). The division of urban business districts based on population thermal distribution cannot meet the growing business development needs for specific industries. At present, when enterprises delineate their business expansion target areas, they need to spend a lot of offline research costs. For example, using cognitive Manual methods such as small-scale offline checkpoints starting from the region, these methods consume a lot of manpower, are inefficient and have narrow information coverage

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