Financial product recommendation method and device

Abstract

The invention provides a financial product recommendation method and device, and relates to the technical field of big data analysis and artificial intelligence. The recommendation method comprises the steps: obtaining financial management data of a family customer, wherein the financial management data comprises an investment type; carrying out tagging processing on investment types in the financial management data to obtain customer tags of family customers, and carrying out clustering division on financial management types of the family customers according to the customer tags; determining customer portraits of the family customers in each type and preference degrees for different financial products; and determining a financial product recommendation list corresponding to the family customers based on the customer portraits, the preference degree and a preset classification model. According to the invention, financial products can be quickly and accurately recommended to users from massive financial products.

Description

technical field [0001] The invention relates to the technical fields of big data analysis and artificial intelligence, in particular to a method and device for recommending wealth management products. Background technique [0002] With the development of the industrial revolution and the establishment of cities, profit-seeking drives the population to conduct financial management. For a large number of professionals in the non-financial field, their income cannot be allocated very well, and they miss the opportunity to make money in directionless investment or consumption. Opportunities, they all very much hope that there will be a high-security plan that directly implements financial management with less brains. [0003] In the field of financing services for small, medium and micro enterprises, a wide variety of financial products have been launched for different types of users. To accurately and quickly find financial products that suit them, companies need to spend a lo...

AI Technical Summary

Problems solved by technology

[0003] In the field of financing services for small, medium and micro enterprises, a wide variety of financial products have been launched for different types of users. To accurately and quickly find financial products that suit them, companies need to spend a lot of time looking for financial products that suit them, which not only affects user experience, but also increases the cost of reaching users for financial institutions' products

Nowadays, more intelligently recommended wealth management solutions are only designed based on big data, and the collection of big data information is only for the information of wealth management products themselves. The final recommended wealth management products do not quite meet the needs of customers, that is, the accuracy is not high.

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