Merchant clustering method, device, computer equipment and storage medium

A clustering method and computer program technology, applied in the Internet field, can solve problems such as low accuracy and slow processing speed of merchant clustering

Active Publication Date: 2020-10-23
北京顺达同行科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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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

Method used

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  • Merchant clustering method, device, computer equipment and storage medium
  • Merchant clustering method, device, computer equipment and storage medium
  • Merchant clustering method, device, computer equipment and storage medium

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Embodiment Construction

[0066] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0067] The merchant clustering method provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through a network. The terminal 102 of each merchant collects the order data of each merchant, and sends the collected historical order data to the server 104. The server 104 obtains the historical order data of each merchant, and generates an order distribution matrix according to the geographic location partition corresponding to the historical order data. According to the ...

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Abstract

The present application relates to a merchant clustering method, device, computer equipment and storage medium. The method includes: obtaining the historical order data of each merchant, generating an order distribution matrix according to the geographic location partition corresponding to the historical order data, obtaining the order similarity data and order complementary data among the merchants according to the order distribution matrix, and obtaining the According to the initial distance data of the order similarity data and order complementary data, the initial distance data is updated to obtain the updated distance data. According to the updated distance data, each merchant is clustered to obtain the merchant clustering result. The matrix is ​​used to represent the order distribution of merchants, and efficient analysis and processing are realized through matrix calculation. Based on the analysis of the full amount of order data, accurate merchant clustering results are obtained through clustering processing, which is convenient for subsequent realization based on accurate merchant clustering results. The efficiency of logistics delivery has been effectively improved.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06Q30/02G06Q30/06
CPCG06Q30/0201G06Q30/0635G06F18/23
Inventor 郭瀚阳咸珂彭豆张灿
Owner 北京顺达同行科技有限公司
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