Client feature library generating method and device

A technology for generating devices and feature libraries, which is applied in the field of information processing and can solve problems such as high algorithm complexity, high system resource consumption, and high cost of resource consumption

Inactive Publication Date: 2012-07-18
CHINA MOBILE GROUP SICHUAN
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AI Technical Summary

Problems solved by technology

However, the algorithm of this model will cluster almost every user, and the complexity of the algorithm is very high, which means that the system resource consumption is very high
[0014] Since the K-MEANS clustering algorithm is a basic and most widely used division method in cluster analysis methods, it is a method for discovering classes and...

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  • Client feature library generating method and device
  • Client feature library generating method and device
  • Client feature library generating method and device

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Embodiment Construction

[0044]Generally, a good clustering method should make the clusters more dispersed and each cluster more compact. Just like things are clustered and people live in groups, the differences within the same customer group are relatively small, but the differences between different customer groups are relatively large. In order to meet the above requirements, the present invention proposes a new method for generating a customer feature library.

[0045] Firstly, the principle of the solution of the present invention will be described.

[0046] Let the clustering data set G contain n m-dimensional vector samples {x 1 , x 2 ..x n}, recorded as G{x, n}, assuming that G{x, n} is clustered into k classes {A 1 , A 2 ...A k}, 1i and x j ), the Euclidean distance is:

[0047] d ( x i , x j ) = [ ...

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Abstract

The invention provides a client feature library generating method, which comprises the steps of: calculating the sum d of intra-class distances under different cluster numbers k, and drawing a k-d value curve; finding a turning point according to the k-d value curve, finding a k value corresponding to the turning point, looking for an optimal cluster number kopt within a range near the k value, and utilizing a cluster result corresponding to the optimal cluster number as a final cluster result. The invention also provides a client feature library generating device. The scheme of the invention can improve the cluster searching efficiency and precision, and the method of the invention is used for performing client analysis according to the obtained client feature library to improve the recommendation success rate and client satisfaction degree of a marketing campaign.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a method and device for generating a customer feature library. Background technique [0002] The customer feature database, as the name suggests, is a database that classifies customer groups according to customer feature information and stores the classified customers. The customer profile library plays a vital role in the marketing execution process: [0003] For managers, customer business matching can be achieved by matching customer characteristics with their suitable businesses and channels; accurately locating target customer groups, and designing differentiated marketing rules for differentiated customers, so that users can experience fast and accurate refinement Marketing design to realize intelligent marketing management; [0004] For front-line marketers, it can help them quickly identify the business that customers are suitable for, clear the recommen...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 曾键陈刚梅松张航友程鹏李玥毅
Owner CHINA MOBILE GROUP SICHUAN
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