Method and device for clustering government and enterprise customers

Abstract

The invention provides a method and device for clustering government and enterprise customers. The method for clustering the government and enterprise customers, which is provided by the invention, comprises the steps of: obtaining government and enterprise customer data and list customer data; respectively carrying out word segmentation on first government and enterprise customer names and firstlist customer names to obtain a first word set and the first word set; and calculating a deviation degree score of the first word set and the second word set and if the deviation degree score is lessthan a preset deviation degree score, regarding the first government enterprise customer names and the first list customer names to be successfully matched. The method for clustering the government and enterprise customers, which is provided by the invention, has the advantages that the automatic construction of the intelligent clustering of the government and enterprise customers is realized; andthe processing efficiency and the accuracy of clustering results are greatly increased.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and device for clustering government and enterprise customers. Background technique [0002] With the deepening of government and enterprise customer marketing management, the management requirements based on customer dimensions and industry dimensions are becoming more and more urgent. The income and business volume data statistics and analysis of list-based major customers have become the daily management assessment of the government and enterprise customer business department. needs. [0003] Among them, government and enterprise customers refer to group customers, such as Tencent Group, Alibaba Group or SAIC Group. The list-based customer refers to a set of customers with strong correlation artificially stipulated to meet the needs of marketing management. The customer set includes the combination of the next-level list-based customer and the entity customer...

AI Technical Summary

Problems solved by technology

[0004] At present, the list system and industry clustering rules are usually scattered in the hands of various account managers and industry managers. In order to obtain clustering of government and enterprise customers, the customer acquisition department needs to first require each account manager to manually screen and process the data at hand. , for example, if the customer acquisition department needs to cluster all the subsidiaries of Tencent Group, it needs to manually screen out the names of all the companies under Tencent Group, which is inefficient and the accuracy rate is not high

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