User behavior analysis method and apparatus

A behavior analysis and user technology, applied in the field of machine learning, can solve problems such as inability to identify and new fraud methods cannot be identified, and achieve the effect of improving prevention

Active Publication Date: 2018-07-24
JINGDONG TECH HLDG CO LTD
View PDF11 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this scheme can only further judge more recognition results based on the recognition results that have already appeared, and cannot play a role in identifying new fraudulent methods that emerge in an endless stream
In addition, this method only analyzes user behavior through a single correlation, and cannot play a good role in identifying scammers when they interact with a large amount of information.

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 behavior analysis method and apparatus
  • User behavior analysis method and apparatus
  • User behavior analysis method and apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0082] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details being omitted, or other methods, components, devices, steps, etc. may be adopted. In other instances, well-known technical solution...

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 user behavior analysis method and apparatus. The user behavior analysis method comprises the following steps: establishing an information connectivity graph according to the behavior data of a plurality of users; extracting a plurality of bipartite graphs based on a plurality of preset relationship models according to the information connectivity graph; obtaining a score density curve of the plurality of bipartite graphs based on a preset scoring model; and identifying suspicious user behaviors based on the score density curve. By adoption of the user behavior analysismethod provided by the invention, the abnormal user behaviors can be effectively identified, which is helpful for discovering a new network fraud mode and preventing the network fraud.

Description

technical field [0001] The present disclosure relates to the technical field of machine learning, in particular, to a user behavior analysis method and device using a machine learning model. Background technique [0002] With the development of e-commerce, online fraud against e-commerce websites has gradually increased. Generally speaking, the main behavior pattern of online fraud is that the same operator uses multiple identities to carry out activities on e-commerce websites to achieve fraudulent behaviors such as swiping orders and repeatedly receiving discounts. Therefore, e-commerce websites have a greater ability to identify suspicious user behaviors. Thereby preventing the need for cheating. [0003] In related technologies, there is an analysis of the association relationship between user accounts and user identification nodes, and according to the identified dangerous user account identification and the association relationship with the user identification node, o...

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): H04L29/06H04L12/24G06K9/62G06K9/46
CPCH04L41/145H04L63/1425G06V10/40G06F18/24
Inventor 李想张雯
Owner JINGDONG TECH HLDG 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