Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

User risk data mining method and device

A data mining and user technology, applied in the field of data processing, can solve problems such as the inability to accurately measure user risk, and achieve accurate results.

Active Publication Date: 2021-09-03
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method does not accurately measure the risk of the user

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 risk data mining method and device
  • User risk data mining method and device
  • User risk data mining method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] 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. The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses. 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.

[0020] The inventors found that a series of user behavior events and the occurrence time of the behavior events can reflect the user's characteristics. Taking the e-commerce shopping scenario as an example, users with the following series of behaviors are likely to be risky users.

[0021] For examp...

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 user risk data mining method and device, and relates to the field of data processing. The user risk data mining method includes: obtaining the behavior information of the user to be tested, the behavior information includes the behavior event and the time attribute of the behavior event; determining the behavior event of the user to be tested according to the time attribute of each behavior event in the behavior information of the user to be tested According to the temporal correlation between the behavior events of the user to be tested and the temporal correlation between the behavior events of the predetermined risk sample users, the risk degree of the user to be tested is determined. The present invention determines the risk degree of the user to be tested according to the timing correlation relationship between the behavior events of the user to be tested and the timing correlation relationship between the behavior events of the pre-determined risk sample users, and on the basis of referring to the behavior events of the user, The temporal relationship between behavioral events is also considered to make the results of risk data mining more accurate.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a user risk data mining method and device. Background technique [0002] Risk data mining is very necessary to strengthen user risk management, increase operating income, protect user rights and interests, and improve user satisfaction. Since the user's inherent behavior habits and behavior goals have certain regularity, it is reflected in a certain fixed pattern, which has important reference significance for identifying risky users. [0003] At present, the decision tree analysis method is used to mine user risk data, that is, users are only classified according to different behavior events of users, and the risk probability of users is predicted according to the classification results. This method cannot accurately measure the risk of the user. Contents of the invention [0004] A technical problem to be solved by the embodiments of the present invention is to provide an acc...

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 Patents(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0609
Inventor 刘朋飞李爱华葛胜利
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com