Anti-fraud evaluation method and device based on transfer learning and electronic equipment

A transfer learning and post-migration technology, which is applied in the retrieval of web data using information identifiers, special data processing applications, and unstructured text data retrieval, etc. The effect of reducing workload, reducing risk control costs, and wide application

Pending Publication Date: 2021-02-09
SHANGHAI QIYUE INFORMATION TECH CO LTD
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to solve the technical problems in the prior art that different business scenarios need to re-label tags and train models, resulting in a large amount of anti-fraud evaluation workload and high cost investment

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
  • Anti-fraud evaluation method and device based on transfer learning and electronic equipment
  • Anti-fraud evaluation method and device based on transfer learning and electronic equipment
  • Anti-fraud evaluation method and device based on transfer learning and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] Exemplary embodiments of the present invention will now be described more fully with reference to the accompanying drawings, and although the exemplary embodiments may be embodied in many specific forms, these should not be construed as limited to the embodiments set forth herein. On the contrary, these exemplary embodiments are provided in order to make the content of the present invention more complete and more convenient to fully convey the inventive concept to those skilled in the art.

[0046] On the premise of complying with the technical concept of the present invention, the structure, performance, effect or other features described in a specific embodiment can be combined in any suitable way into one or more other embodiments.

[0047] During the introduction of specific embodiments, detailed descriptions of structures, performances, effects or other features are intended to enable those skilled in the art to fully understand the embodiments. However, it does no...

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 an anti-fraud evaluation method and device based on transfer learning and electronic equipment. The method comprises the steps: acquiring anti-fraud source domain data and target domain data respectively, wherein the source domain data is user data of a domain with more than a preset number of fraud labels, and the target domain data is user data of a domain to be subjectedto anti-fraud evaluation; carrying out transfer learning on the source domain data and the target domain data; establishing an anti-fraud model according to the migrated source domain data and targetdomain data; and evaluating the fraudulent user according to the anti-fraudulent model. According to the invention, the anti-fraud evaluation of the target domain is achieved through the transfer learning of the source domain and the target domain, tedious data annotation and model training do not need to be carried out on the data in each business scene, the workload of the anti-fraud evaluationcan be effectively reduced, and the risk control cost is reduced. In addition, the source domain data and the target domain data do not comply with the same distribution, so that the method and device have the advantage of wide application.

Description

technical field [0001] The present invention relates to the technical field of computer information processing, in particular to an anti-fraud evaluation method, device, electronic equipment and computer-readable medium based on transfer learning. Background technique [0002] With the rapid development of the Internet and the popularization of smart terminals, people can handle many businesses through the Internet without leaving home, such as online shopping and e-banking. But then there will also be some online fraud. [0003] According to the fraudulent purpose, online fraud can be divided into: marketing fraud (such as wool, false traffic, etc.), expenditure fraud (such as cash-out behavior), financial fraud (such as loan fraud, bank card fraud, quota fraud, etc.), transaction Fraud (such as brushing positive reviews, negative reviews, malicious space occupation, money laundering, etc.) and account fraud (such as phishing, false registration, etc.), etc. According to ...

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): G06F16/955G06F16/35
CPCG06F16/955G06F16/35
Inventor 薛贤巨孙涛
Owner SHANGHAI QIYUE INFORMATION TECH 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