Digital resource processing method, device and system based on machine learning

A technology of digital resources and processing methods, applied in neural learning methods, data processing applications, instruments, etc., can solve problems such as low efficiency and high cost of manual identification of fraudulent behaviors

Pending Publication Date: 2021-05-18
北京奇保信安科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to solve the problem that there are fraudulent behaviors in some existing cr

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  • Digital resource processing method, device and system based on machine learning
  • Digital resource processing method, device and system based on machine learning
  • Digital resource processing method, device and system based on machine learning

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Embodiment Construction

[0042] 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.

[0043] 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.

[0044] 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...

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Abstract

The invention discloses a digital resource processing method, device and system based on machine learning, which are used for a resource raising platform to predict the fraud probability of a project initiated based on the platform, and the method comprises the following steps: respectively setting weights of attribute information of the project, a project initiator, a project organizer and a project participant in advance; obtaining attribute information of the project, a project initiator, a project organizer and a project participant; and establishing a fraud judgment model based on machine self-learning, inputting the attribute information and weights of the project, the project initiator, the project organizer and the project participant into the fraud judgment model, and outputting a project fraud score by the fraud judgment model. By adopting the technical scheme, the project with the fraudulent behavior can be quickly identified through the fraudulent judgment model, and the management and maintenance cost of the project management platform can be reduced.

Description

technical field [0001] The present invention relates to the field of computer information processing, in particular to a method, device and system for processing digital resources based on machine learning. Background technique [0002] With the development of Internet technology, many traditional fields have undergone changes and ideas. Traditional project funds often need to be in charge of one or several investors, and the investors have to bear relatively large financial pressure and risks. [0003] With the emergence of the Internet and Internet finance, project funds can be raised through crowdfunding. The project initiator initiates the project, the project organizer maintains and promotes the project, and project participants participate in the project within their own ability. By adopting crowdfunding, the financial pressure and risks borne by everyone are greatly reduced. [0004] However, it is inevitable that some project initiators, project organizers, and pro...

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Application Information

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IPC IPC(8): G06Q10/10G06Q20/42G06Q20/38G06N3/08G06N3/04
CPCG06Q10/10G06Q20/42G06Q20/382G06N3/08G06N3/044G06N3/045
Inventor 张中峰王娜丽贺方超
Owner 北京奇保信安科技有限公司
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