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Method and system for electronic commerce user purchasing power classification

A technology of e-commerce and classification method, which is applied in sales/rental transactions, special data processing applications, marketing, etc., can solve the problem of inaccurate classification of users' purchasing power, and achieve the effect of reasonable delineation and accurate classification

Inactive Publication Date: 2015-06-17
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Based on this, it is necessary to provide a method and system for classifying purchasing power of e-commerce users in order to solve the technical problem of inaccurate classification of purchasing power of users in the prior art

Method used

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  • Method and system for electronic commerce user purchasing power classification
  • Method and system for electronic commerce user purchasing power classification
  • Method and system for electronic commerce user purchasing power classification

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Embodiment Construction

[0023] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0024] Such as figure 1 Shown is a work flow diagram of a method for classifying purchasing power of e-commerce users of the present invention, including:

[0025] Step S101, including: determining the grades of commodities in the same category as high-end commodities based on price and sales volume distribution, determining the grades of other commodities in the same category as non-high-grade commodities, and sorting the grades of non-high-end commodities in order of price from high to low Divided into x grades from high to low in turn, where x is a preset natural number greater than or equal to 1;

[0026] Step S102, including: calculating the proportion of each user purchasing commodities of each grade, and vectorizing the proportion based on each user to obtain the purchasing power vector of each user, and the purchasing power v...

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Abstract

The invention discloses a method and system for electronic commerce user purchasing power classification. The method includes the steps that based on price and sale volume distribution, the level of commodities of the same type is determined to be the high level, the level of other commodities of the same type is determined to be the non-high level, and the commodities at the non-high level are divided into x levels from high to low sequentially according to the price from high to low, wherein x is a preset natural number larger than or equal to 1; the ratio of the commodities at each level in overall commodities purchased by each user is calculated, the ratios are vectorized based on all the users, purchasing power vectors of all the users are acquired and are x+1 dimension vectors, and each dimension corresponds to one level; the purchasing power vectors are clustered, x+1 point clusters related to the purchasing power vectors are acquired, each point cluster corresponds to one level, and the level corresponding to the point cluster where the corresponding purchasing power vector of each user is located serves as the purchasing power level of the user. By the adoption of the method and system, user purchasing power classification is more accurate.

Description

technical field [0001] The present invention relates to the technical field related to e-commerce, in particular to a method and system for classifying purchasing power of e-commerce users. Background technique [0002] With the rapid development of the e-commerce industry, it is imminent to meet the personalized shopping needs of users. Recommending reasonable products to users in the process of browsing and shopping will greatly improve the user experience. However, behind a personalized shopping recommendation system, a large number of user tags are needed to support it. Among them, the user's purchasing power label is essential. For users with high purchasing power, when choosing the same type of product, they often buy products with higher quality and price. For example, if a user with high purchasing power wants to buy a mobile phone, he will buy a high-end mobile phone from the Apple or Samsung brand; For a user with low purchasing power, for example, if he wants t...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q30/02
CPCG06Q30/06G06F16/00
Inventor 邵佳帅刘朋飞牟川
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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