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Financial product recommendation method and system based on artificial intelligence

A financial product, artificial intelligence technology, applied in finance, neural learning methods, biological neural network models, etc., can solve problems such as inaccurate recommendation and low efficiency

Pending Publication Date: 2021-08-13
牛少侠科技山西有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a method and system for recommending financial products based on artificial intelligence, which solves the technical problems that most financial products in the prior art rely on manual recommendation, which has low efficiency and cannot be accurately recommended according to individual needs, and achieves high efficiency. Intelligent recommendation, and more accurate technical effects for personalized recommendations for target customers

Method used

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  • Financial product recommendation method and system based on artificial intelligence
  • Financial product recommendation method and system based on artificial intelligence
  • Financial product recommendation method and system based on artificial intelligence

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Embodiment 1

[0024] Such as figure 1 As shown, the embodiment of the present application provides an artificial intelligence-based financial product recommendation method, wherein the method includes:

[0025] Step S100: Obtain the total assets of the first user according to the bank service terminal;

[0026] Specifically, the bank service terminal is a part of the electronic and automated banking business processing, and can perform functional services including cash withdrawal, cash deposit, cash deposit and withdrawal, balance inquiry, transfer of the bank or another bank, and password modification. . The first user is the object of financial product recommendation, that is, the financial product customer. Through the bank service terminal, the total assets of the first user can be queried for subsequent product recommendation.

[0027] Step S200: Obtain the economic source information of the first user;

[0028] Step S300: Obtain information on the number of economic sources of the...

Embodiment 2

[0090] Based on the same inventive concept as an artificial intelligence-based financial product recommendation method in the foregoing embodiments, the present invention also provides an artificial intelligence-based financial product recommendation system, such as figure 2 As shown, the system includes:

[0091] A first obtaining unit 11, the first obtaining unit 11 is used to obtain the total assets of the first user according to the bank service terminal;

[0092] A second obtaining unit 12, the second obtaining unit 12 is configured to obtain the economic source information of the first user;

[0093] A third obtaining unit 13, the third obtaining unit 13 is configured to obtain information on the number of economic sources of the first user;

[0094] A fourth obtaining unit 14, the fourth obtaining unit 14 is configured to classify the economic source information of the first user, and obtain the type information of the economic source;

[0095] The fifth obtaining un...

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Abstract

The invention discloses a financial product recommendation method and system based on artificial intelligence, and the method comprises the steps: inputting the total amount of assets of a first user, the number information of economic sources, and the type information of the economic sources into an economic source grade evaluation model, and obtaining the economic source grade information of the first user; according to the bearable risk level of the first user and the saving ratio, obtaining a financial idea color analysis result of the first user according to the predetermined color mapping area; and adjusting the first financial product list according to the financial idea color analysis result of the first user to obtain a second financial product list, and pushing the second financial product list to a client of the first user. The technical problems that in the prior art, most financial products are recommended manually, efficiency is low, and accurate recommendation cannot be conducted according to personal requirements are solved.

Description

technical field [0001] The present invention relates to the field of financial products, in particular to an artificial intelligence-based financial product recommendation method and system. Background technique [0002] Financial products are all kinds of non-physical assets with economic value that can be traded publicly or redeemed. They are also called securities. There are many types of financial products in the market, such as cash, bills of exchange, stocks, futures, bonds, insurance policies, etc. [0003] However, in the process of realizing the technical solution of the invention in the embodiment of the present application, the inventor of the present application found that the above-mentioned technology has at least the following technical problems: [0004] Most of the existing technical financial products rely on manual recommendation, which has low efficiency and technical problems that cannot be accurately recommended according to individual needs. Contents...

Claims

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Application Information

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IPC IPC(8): G06Q40/06G06Q40/02G06Q30/02G06N3/08
CPCG06N3/08G06Q30/0255G06Q30/0271G06Q40/02G06Q40/06
Inventor 不公告发明人
Owner 牛少侠科技山西有限公司
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