Control method and device for predicting user behavior based on large data

A control method and big data technology, applied in the field of big data analysis, can solve problems such as not providing big data to predict the future behavior of users, and achieve the effect of improving work efficiency, data analysis level, and good user experience

Inactive Publication Date: 2016-10-26
CHINA PACIFIC INSURANCE (GRP) CO LTD
View PDF0 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the technical problem of not providing big data based on user behavior to predict the future behavior of users in the prior art, the purpose of the present invention is to provide a control method and corresponding device for predicting user behavior based on big data

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
  • Control method and device for predicting user behavior based on large data
  • Control method and device for predicting user behavior based on large data
  • Control method and device for predicting user behavior based on large data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to better clearly express the technical solution of the present invention, the present invention will be further described below in conjunction with the accompanying drawings.

[0034] Those skilled in the art understand that in order to solve the technical problem that the existing technology cannot predict the future trend of users by analyzing user behavior data, the technical solution of the present invention is to provide a control method for predicting user behavior based on big data to realize different behavior characteristics of users build solutions for predictive models. Through the technical solution provided by the present invention, salespersons can design customer indicators for user risks, purchase preferences, renewals, insurance additions, etc., select a specific amount of data from thousands of user data, and build a refined prediction model And based on the prediction model, the user's future behavior trend is intuitively evaluated. Specifi...

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 provides a control method for predicting a user behavior based on large data. The control method is used in classification analysis based on a user behavior large-data set so that a behavior expectation index I is predicted and calculated. The control method comprises the following steps: a, obtaining a user behavior variable y; b, on the basis of a function f(u, y, [phi] ... ...), obtaining characteristic parameters [beta]<1>, [beta]<2> ... [beta]

through calculation; c, on the basis of a linear combination formula u=[beta]<1>*1+[beta]<2>*2+...[beta]

*p, obtaining an expectation value u through calculation; and d, on the basis of a formula I=g(u), obtaining the behavior expectation index I through calculation. A corresponding control device is further provided. Client indexes aiming at a user risk, a purchase preference, renewal of insurance, insurance adding and other aspects can be designed through the method and device, a specific number of data is preferably selected from thousands of user data, a refined prediction model is constructed, and visual evaluation is performed on a user's future behavior trend on the basis of the prediction model.

Description

technical field [0001] The present invention relates to the field of big data analysis, especially the application of big data analysis in the insurance industry, and in particular to a control method and a corresponding device for predicting user behavior based on big data. Background technique [0002] With the advent of the era of big data, more and more industries have begun to apply big data analysis to their daily management of customers, such as the insurance industry, telecommunications industry, fast-moving consumer goods industry, etc., these industries have begun to use big data It can even predict the future trend of user behavior and tap potential user resources. In the traditional insurance industry, data analysts generally use actuarial technology to obtain product sales and user risk indexes, which more quantitatively calculate and qualitatively analyze data in one dimension, which cannot reflect the actual operation of the data as a whole. Diversity and com...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q40/08
CPCG06Q10/04G06Q40/08
Inventor 吴敏辰马伟伟陈军孙佩张孟露张雅停
Owner CHINA PACIFIC INSURANCE (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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap