Financial product recommendation method, electronic equipment and storage medium

A recommendation method and product technology, applied in the computer field, can solve problems such as increasing marketing costs, failure to provide customers, reducing marketing efficiency of financial institutions, etc., and achieve the effect of improving the experience effect

Pending Publication Date: 2021-08-10
深圳索信达数据技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The recommendation effect of "thousand people are the same" reduces the marketing efficiency of financial institutions and increases marketing costs
[0004] Therefore, the existing technology still has the problem of being unable to provide accurate personalized financial product recommendations for customers

Method used

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  • Financial product recommendation method, electronic equipment and storage medium
  • Financial product recommendation method, electronic equipment and storage medium
  • Financial product recommendation method, electronic equipment and storage medium

Examples

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Embodiment Construction

[0023] Next, the technical scheme in the present application will be clear and completely, and the embodiments described herein are described herein, and not all of the embodiments of the present disclosure, not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative labor premises, all of the present application protected.

[0024] The flowchart shown in the drawings is merely illustrative, and it is not necessary to include all content and operation / steps, nor must be performed in the described order. For example, some operations / steps can also be decomposed, combined, or partially combined, so the order actually performed may change according to the actual situation.

[0025] It should be understood that the terms used in this present application specification are merely intended to limit the purposes of the specific embodiments. As us...

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PUM

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Abstract

The invention relates to the technical field of computers, and discloses a financing product recommendation method, electronic equipment and a storage medium, and the method comprises the steps: searching a financing limit sub-graph of a target customer on a pre-stored financing knowledge graph according to the risk bearing level of the target customer; mapping the financing preference information of a target customer to the financing limit sub-graph to obtain a financing preference entity node list of the target customer; and determining a target financial product recommendation list of the target customer according to the financial preference entity node list of the target customer. The target financial management product recommendation list of the target customer can be determined on the financial management knowledge graph based on the risk tolerance level of the target customer and the financial management preference information of the target customer, personalized financial management product recommendation is realized for different customers, and the customer experience effect is improved.

Description

Technical field [0001] The present application relates to the field of computer technology, in particular to a financial product recommendation method, electronic device and storage medium. Background technique [0002] With the gradual changes in resident financial management, resident wealth has gradually moved from bank savings represented by regular deposits and spending deposits to fund products, bank wealth management products, structured deposit products, etc., therefore, each The competition between financial institutions is increasingly fierce, how to recommend personalized wealth management products for each customer, have become an important means of improving competitiveness of all financial institutions, and they are also the key to reducing marketing costs. [0003] The existing common means is simple to use the sort algorithm. According to the benefits, popularity, sales, visitors, etc.; or use a classification method, according to the type of index, the first fund...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q40/06G06F16/9535G06F16/36
CPCG06Q30/0271G06Q40/06G06F16/9535G06F16/367
Inventor 万友平邵俊蔡艺齐
Owner 深圳索信达数据技术有限公司
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