User income prediction method and system

A user and income technology, applied in the computer field, can solve the problems of low pertinence, high cost, and inaccurate prediction results in predicting user income, and achieve the effect of low cost, higher cost, and accurate prediction

Inactive Publication Date: 2019-11-22
CHINA UNITED NETWORK COMM GRP CO LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a method and system for predicting user income, so as to solve the c

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • User income prediction method and system
  • User income prediction method and system
  • User income prediction method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0068] Please refer to figure 1 , figure 1 A flow chart of a method for predicting user income is provided in Example 1. In order to solve the problems of the current project of predicting high-income groups of users, the prediction results are not accurate enough, and the cost is too high, a more applicable method is proposed The method can not only accurately identify high-income user groups, but also can be applied to identify other non-high-income user groups. This embodiment proposes a method for predicting user income, wh...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method and system for predicting the income of a user, and the method comprises the steps: building a prediction model which comprises an attribute type for predicting the income of the user and a plurality of income levels; collecting each piece of attribute information of a user to be predicted corresponding to the attribute category in the prediction model; and according to the prediction model and the attribute information of the to-be-predicted user, calculating a probability value of the to-be-predicted user falling into each income level in the prediction model, and according to the income level corresponding to the calculated highest probability value, predicting an income condition of the to-be-predicted user. The income condition of the user can be accurately predicted, and the implementation cost is low.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method for predicting user income and a system for predicting user income. Background technique [0002] At present, the mining method of high-income customers mainly focuses on developed regions / key industries, and uses manual methods to conduct extensive surveys and mining of people in developed regions and key industries. The disadvantages of the above method are: first, the target is poorly targeted, and it is impossible to locate precise groups of people; second, the labor cost is too high, requiring manual field work; third, the survey results are inaccurate, the quality of researchers is uneven, and customers do not cooperate, etc. , leading to poor reliability of the research results. [0003] Therefore, it is particularly necessary to propose a scheme that can accurately predict user income while saving prediction costs. Contents of the invention [0004] The pre...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/04G06Q30/02
CPCG06Q10/04G06Q30/0201
Inventor 王子奇
Owner CHINA UNITED NETWORK COMM GRP CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products