A closed-loop target customer identification method based on spark big data

A target customer and identification method technology, applied in the field of Spark big data processing, can solve problems such as customer loss, inability to accurately judge customers, customer information cannot be accurately identified and extract useful information from merchants, etc., to achieve maximization and rationalization of resources Configure and realize the effect of benefits

Inactive Publication Date: 2018-12-25
GUANGZHOU MARITIME INST
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AI Technical Summary

Problems solved by technology

[0002] The traditional customer identification model cannot accurately judge customers and update and optimize products in a timely manner, resulting in customer loss and the inability to activate potential customers. It is impossible to accurately identify and extract useful information for businesses from massive customer information.

Method used

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  • A closed-loop target customer identification method based on spark big data
  • A closed-loop target customer identification method based on spark big data
  • A closed-loop target customer identification method based on spark big data

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Embodiment Construction

[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.

[0048] refer to Figure 1-3 , a closed-loop target customer identification method based on spark big data, comprising the following steps:

[0049] S1: Data collection: Crawl public user information using open API interfaces of different social networks. User information includes user ID, nickname, gender, and comments, and the social network is specifically Facebook, WeChat, Weibo, Taobao, QQ or Alipay. Publish the collected public user information and the data generated by customer consumption data to the established kafka distributed message distribution system in real time;

[0050] S2: Data preprocessing: use the Spark Streaming cluster to obtain data from the ...

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Abstract

The invention relates to the technical field of Spark big data processing, in particular to a closed-loop target customer identification method based on spark big data, comprising the following steps:S1, data acquisition; S2: data preprocessing; S3: multiple user identity association; S4: constructing a customer portrait model; S5: constructing a customer life cycle value (CLV) model: according to the existing research, the customer life cycle value (CLV) model of the system includes customer current value (CCV) and customer expected value (CFV); S6: constructing a Community Discovery Model:the model adopts a Fast Unfolding algorithm based on Spark GraphX parallel graph computation, and optimizes Modularity value continuously to mine the community where the customer is located; S7: Product recommendations based on random forests. The invention can subdivide the customers, which is beneficial for the enterprise to locate and identify the target customers, and utilizes the limited resources to develop the users and potential users with high value.

Description

technical field [0001] The invention relates to the technical field of Spark big data processing, in particular to a method for identifying closed-loop target customers based on spark big data. Background technique [0002] The traditional customer identification model is unable to accurately judge customers and update and optimize products in a timely manner, resulting in customer loss and failure to activate potential customers. It is impossible to accurately identify and extract useful information for businesses from massive customer information. To this end, we propose a closed-loop target customer identification method based on spark big data. Contents of the invention [0003] The purpose of the present invention is to solve the shortcomings in the prior art, and propose a closed-loop target customer identification method based on spark big data. [0004] In order to achieve the above object, the present invention adopts the following technical solutions: [0005] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q30/06G06K9/62
CPCG06Q30/0201G06Q30/0631G06F18/24323
Inventor 李振彰钟碧良吴继裕曹玉军张绍安林广松梁运鑫李嘉仪翁伟林郑鹏达
Owner GUANGZHOU MARITIME INST
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