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

User behavior abnormity detection method and device, electronic equipment and readable storage medium

An anomaly detection and user technology, applied in the field of detection, can solve problems such as difficult verification, low efficiency of investigation, and difficulty in obtaining real feedback.

Pending Publication Date: 2019-05-07
BEIJING SANKUAI ONLINE TECH CO LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, according to the above method to assess the authenticity of business evaluations, there are the following problems: when manually checking, the data base is relatively large, and it is difficult to ve

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 abnormity detection method and device, electronic equipment and readable storage medium
  • User behavior abnormity detection method and device, electronic equipment and readable storage medium
  • User behavior abnormity detection method and device, electronic equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] refer to figure 1 , which shows a flow chart of the steps of the method for detecting abnormal user behavior in one embodiment of the present disclosure, including:

[0030] Step 101: Detecting a preset business behavior initiated when a user visits a store, and initiating a photographing request for the business behavior to the user.

[0031] In the embodiment of the present disclosure, in the scenario of authenticity detection of the user's visit to the store, when the user goes to the store to perform business operations, the store visit behavior verification task can be issued to the user through the application platform, and the verification task requests the user to take an image of a specified scene in the store Data, for example, when the user goes to the store to place an order, pay, and evaluate operations, a request is sent to the user to capture real image data corresponding to the order, payment, and evaluation object, and the user can take pictures accordi...

Embodiment 2

[0081] refer to figure 2 , which shows a flowchart of steps of a method for detecting abnormal user behavior in another embodiment of the present disclosure, specifically as follows.

[0082] Step 201, detecting the preset business behavior initiated by the user when visiting the merchant, and initiating a photographing request for the business behavior to the user;

[0083] This step is the same as step 101 and will not be described in detail here.

[0084] Step 202, acquiring the first image taken by the user according to the shooting request;

[0085] This step is the same as step 102 and will not be described in detail here.

[0086] Step 203, acquiring the shooting time and location information of the first image.

[0087] In the embodiment of the present disclosure, the geographic location where the first image is shot is determined through the positioning information in the image meta information, and secondly, the shooting time information in the image meta informa...

Embodiment 3

[0121] refer to image 3 , which shows a structural diagram of an apparatus for detecting abnormal user behavior in an embodiment of the present disclosure, specifically as follows.

[0122] A shooting request initiating module 301, configured to detect a preset business behavior initiated when a user visits a merchant, and initiate a shooting request for the business behavior to the user;

[0123] A first image acquisition module 302, configured to acquire a first image captured by the user according to the shooting request;

[0124] A preset template image acquisition module 303, configured to acquire a preset template image corresponding to the first image;

[0125] A similarity value acquisition module 304, configured to acquire a similarity value between the first image and the preset template image according to the image features of the preset template image and the first image;

[0126] Preferably, the similarity value acquisition module 304 includes:

[0127] The fi...

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 embodiment of the invention provides a user behavior abnormity detection method and device, electronic equipment and a readable storage medium. The method comprises the steps: detecting a preset service behavior initiated when a user accesses a merchant, and initiating a shooting request for the service behavior to the user; Acquiring a first image shot by a user according to the shooting request; Obtaining a preset template image corresponding to the first image; Obtaining a similarity value between the first image and the preset template image according to the image characteristics of the preset template image and the first image; And when the similarity value is lower than a preset similarity threshold, determining that the access behavior of the user is abnormal. Whether the accessbehavior of the user is abnormal or not can be judged according to the similarity between the shot data when the user accesses the merchant and the preset template image, and the abnormity checking efficiency is improved.

Description

technical field [0001] The embodiments of the present disclosure relate to the technical field of detection, and in particular to a method, device, electronic device, and readable storage medium for abnormal user behavior detection. Background technique [0002] In the field of detection technology, the authenticity of business evaluations is often verified through the visit records made by account managers for business visits. For example, the manager checks the authenticity of the merchant's evaluation through the visit record of the account manager, and finds out the existing problems and areas for improvement. [0003] However, according to the above method to assess the authenticity of business evaluations, there are the following problems: when manually checking, the data base is relatively large, and it is difficult to verify whether the records entered by the account manager into the system are true and valid, and it is also difficult to obtain authenticity by visiti...

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): G06Q30/02G06K9/00
Inventor 张超张宁徐锋
Owner BEIJING SANKUAI ONLINE 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