Product recommendation method and device based on genetic algorithm, equipment and storage medium

Abstract

The embodiment of the invention relates to the field of artificial intelligence, and discloses a product recommendation method, device based on a genetic algorithm, and equipment and a storage medium, and the method comprises the steps: obtaining data flow information which comprises product information and customer information; inputting the data flow information into a pre-trained cash flow prediction model to obtain a prediction result of cash flow data in the data flow information; obtaining a first sample training data set, and inputting the first sample training data set into a preset genetic algorithm model for training to obtain an investment portfolio recommendation model; and inputting the data flow information and the prediction result into the portfolio recommendation model, determining a target recommended product, and sending the target recommended product to the client terminal, so as to accurately predict the flow direction condition of the cash flow data of the client, realize intelligent recommendation of investment products for the client, and improve the accuracy and efficiency of product recommendation. The invention relates to a block chain technology, for example, a data stream can be written into a block chain so as to be used for scenes such as data evidence obtaining.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a product recommendation method, device, equipment and storage medium based on a genetic algorithm. Background technique [0002] At present, there are few softwares on the market that can accurately predict the future cash flow of enterprises through big data models. At the same time, in different product recommendation scenarios, due to the large amount of product data on the big data platform, it is difficult to implement product recommendation technology. Therefore, for There are fewer softwares for enterprises to intelligently recommend investment product service solutions. Therefore, how to realize efficient, accurate and intelligent product recommendation is a major issue. Contents of the invention [0003] Embodiments of the present invention provide a product recommendation method, device, equipment, and storage medium based on genetic algorithms, which ...

AI Technical Summary

Problems solved by technology

[0002] At present, there are few softwares on the market that can accurately predict the future cash flow of enterprises through big data models. At the same time, in different product recommendation scenarios, due to the large amount of product data on the big data platform, it is difficult to implement product recommendation technology. Therefore, for Enterprise intelligently recommends less software for investment product service solutions

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