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An Intentional Customer Analysis System Based on Big Data

A technology of customer analysis and intention, applied in data processing applications, sales/lease transactions, instruments, etc., can solve the problems of low depth of data mining, deep mining, low degree of visualization, etc., and achieve the effect of accurate purchase intention

Active Publication Date: 2020-09-15
浙江华坤道威数据科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method only determines whether the customer has the intention to purchase the product, but does not conduct in-depth mining on why the user chooses the product. The depth of data mining is low and the degree of visualization is not high.

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  • An Intentional Customer Analysis System Based on Big Data

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Embodiment Construction

[0041] 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. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0042] see figure 1 As shown, this embodiment provides a big data-based intentional customer analysis system, including a client communicating with the system, and the client is used to generate a message containing the name of the product and the product page after the customer clicks on the product link. The browsing record of the browsing time, the system also includes a commodity classification module, a customer behavior acquisition module, a commodity intenti...

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Abstract

The invention discloses an intention customer analysis system based on big data. The intention customer analysis system comprises a client in communication connection with the intention customer analysis system, a commodity classification module, a customer behavior acquisition module, a commodity intention grading module, a keyword extraction module, a commodity function extraction module and a storage module. The commodity intention grading module divides intentions of clients into two intention levels, can determine purchase intentions of the clients more accurately, and can provide data support for later sales. The keyword extraction module generates necessary function keywords, irrelevant function keywords and optimal function keywords to represent the most focused function of the customer for one category of commodities and the unconcerned commodity function, so that the commodity evaluation function can be further improved. And further mining of commodities with different intentions is realized, and the intention customer analysis system can be used for later advertisement pushing and consumption prediction.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a big data-based intended customer analysis system. Background technique [0002] Online shopping is increasingly becoming the mainstream of shopping. Customers will generate a large amount of data when browsing products. How to mine these data to help sales is a hot spot in the market now. In the existing technology, for example, the application number is CN201811278267.1 The document discloses a supervised prediction method of customer intention based on customer attributes and marketing data, including knowledge acquisition, knowledge base update and customer purchase intention prediction. The present invention studies the analysis and prediction of customer online shopping behavior and constructs The customer online shopping behavior analysis and prediction system based on the knowledge base realizes the knowledge-based customer online shopping behavior prediction. Howev...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02G06Q30/06
CPCG06Q30/0202G06Q30/0631
Inventor 孟宪坤张蕾刘杰
Owner 浙江华坤道威数据科技有限公司