Merchant clustering method and device, computer equipment and storage medium

Abstract

The invention relates to a merchant clustering method, a merchant clustering device, computer equipment and a storage medium. The merchant clustering method comprises the following steps of acquiringhistorical order data of each merchant, generating an order distribution matrix according to geographic position partitions corresponding to the historical order data, acquiring order similar data andorder complementary data between merchants according to the order distribution matrix, acquiring initial distance data between the merchants, updating the initial distance data according to the ordersimilar data and the order complementary data to obtain updated distance data, and clustering the merchants according to the updated distance data to obtain a merchant clustering result. According tothe merchant clustering method, the order distribution of the merchants is represented by using the matrix, efficient analysis processing is realized through matrix calculation, and an accurate merchant clustering result is obtained through clustering processing by taking total order data as an analysis basis, so that the logistics delivery efficiency is effectively improved based on the accuratemerchant clustering result subsequently.

Description

technical field [0001] The present application relates to the technical field of the Internet, in particular to a merchant clustering method, device, computer equipment and storage medium. Background technique [0002] With the development of Internet technology, intra-city logistics technology has emerged. In order to reduce the delivery distance and improve delivery efficiency, a logistics method that is systematically dispatched according to the dimension of the business district has emerged. The concept of a business district is equivalent to a commercial agglomeration area. It is the basic geographic data required for offline business operations, and the division of business districts can be realized through merchant clustering. [0003] The traditional merchant clustering process is mainly through order sampling, and based on the collected orders, taking into account the location of merchants and the cross-distribution of orders between merchants to analyze, and determ...

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Problems solved by technology

[0004] Based on this, it is necessary to provide an efficient and accurate merchant clustering method, device, computer equipment and storage medium for the above-mentioned technical problems of slow processing speed and low accuracy of merchant clustering

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