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Customer preference information quantification and mining method based on product sales data

A technology of preference information and sales data, applied in the field of big data analysis, it can solve problems such as affecting customer purchasing decisions, fuzzy customer preferences, and difficult customer preferences.

Active Publication Date: 2021-08-03
SHANTOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Customers have limited knowledge of products, lack of understanding of products, and cannot accurately and completely express product needs. At the same time, customers may also have vague and uncertain preferences about themselves. Driven by cognitive and psychological factors, direct and accurate It is difficult to obtain customer preferences, but customers' conscious or unconscious preferences will affect the product purchase decisions made by customers

Method used

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  • Customer preference information quantification and mining method based on product sales data
  • Customer preference information quantification and mining method based on product sales data
  • Customer preference information quantification and mining method based on product sales data

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Embodiment Construction

[0054] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0055] refer to figure 1 The schematic diagram of the process is shown.

[0056] A method for quantifying and mining customer preference information based on product sales data in an embodiment of the present invention is described with an electric bicycle as an application object, and specifically includes the following steps.

[0057] The first step is to collect product specifications and product sales data. The data used comes from the public data on the Chinese e-commerce website (Taobao). Use the keyword "electric bicycle" to obtain a list of products that meet the search criteria and obtain the sales of the target product page. information and product information. The sample data is shown in Table 1.

[0058] Table 1: Product Raw Data

[0059]

[00...

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Abstract

The embodiment of the invention discloses a customer preference information quantification and mining method based on product sales data. The method comprises the following steps: searching and processing product index data and sales volume data; building a relation model of the product indexes and the product sales volume; quantitatively calculating customer preference information in the sales volume data; and based on density clustering of preference probabilities, giving different design decisions according to different results. Product data collection and product data and customer preference relation model training are the premise of mining customer preference information. According to the method, a relation model of product indexes and product sales volume probabilities is constructed through data mining, different subdivided markets are analyzed through information quantity clustering, and product family design suggestions are given according to the different subdivided markets.

Description

technical field [0001] The invention relates to the technical field of big data analysis, in particular to a method for quantifying and mining customer preference information based on product sales data. Background technique [0002] The product index is used to describe the relevant information of the product. The reasonable demand of the customer for the product can be expressed by the value of the product index, and the customer's preference for the product is included in the choice of the product. Therefore, the purchase choice made by the customer for the product can actually be regarded as the choice of the value of the product index, and this choice contains the preference information of the product index. Customers have limited knowledge of products, lack of understanding of products, and cannot accurately and completely express product needs. At the same time, customers may also have vague and uncertain preferences about themselves. Driven by cognitive and psycholog...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q10/06G06K9/62G06N3/04G06N3/08
CPCG06Q30/0201G06Q10/06393G06N3/04G06N3/08G06F18/23
Inventor 张健林培煌
Owner SHANTOU UNIV
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