Financial product recommendation method and device, computer equipment and storage medium

Abstract

The invention relates to a financial product recommendation method and device, computer equipment, a storage medium and a computer program product, which can be used in the financial field, in the aspect of financial product recommendation, and can also be used in any field except the financial field. The method comprises the following steps: acquiring financial related information and manpower related information of a target customer; the manpower-related information comprises the industry type of the target customer; determining the risk bearing level of the target customer according to the financial related information, and determining a plurality of candidate financial products according to the financial products matched with the risk bearing level; and filtering the plurality of candidate financial products according to the industry type to obtain a recommended financial product of the target customer. By adopting the method, financial related information and manpower related information of the customer can be comprehensively considered, and the customer is comprehensively evaluated, so that financial products can be recommended to the customer based on an accurate customer evaluation result. And the accuracy of financial product automatic recommendation is improved.

Description

technical field [0001] The present application relates to the financial field, in particular to a financial product recommendation method, device, computer equipment and storage medium. Background technique [0002] With the increase of financial product loss cases, judging the risk level of customers and recommending suitable financial products to customers has become an important task of the bank's financial product purchase system. [0003] At present, in the financial product purchase system, information such as the income, liabilities, and losses that the customer is willing to bear is often obtained through questionnaire surveys, and the risk level of the customer is judged based on the above customer information, and then the financial products that the customer can purchase are determined based on the above risk level. product. [0004] However, this judgment standard only considers the current financial information of the customer, such as the assets currently owne...

AI Technical Summary

Problems solved by technology

[0004] However, this judgment standard only considers the current financial information of the customer, such as the assets currently owned by the customer, the liabilities of the customer, etc., which makes the evaluation result of the customer relatively one-sided and the accuracy of the risk judgment result of the customer is relatively low. Low

Furthermore, the one-sided evaluation results make the financial products recommended to customers different from the actual needs of customers, and the accuracy of automatic recommendation of financial products needs to be improved

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