Product recommendation method and device based on similar users, equipment and storage medium

Abstract

The invention provides a product recommendation method and device based on similar users, equipment and a storage medium. The method comprises: obtaining user historical data of a current user and related historical data of other users, and determining a similar user corresponding to the current user from the other users according to the user historical data and the related historical data; and obtaining product information corresponding to the similar users, taking the product information as a to-be-recommended product, and pushing the to-be-recommended product to the current user. Accordingto the invention, financial product recommendation is carried out on the current user based on the product information corresponding to similar users. The financial products concerned by the users with the same financial interests are recommended in a staggered manner. The reference index of the financial management interest of the user is increased, the financial management potential interest ofthe user is further mined, the subsequent financial management reference value of the similar users can be used as the estimated financial management reference value of the current user, and the perspectiveness of the financial product recommendation method is improved.

Description

technical field [0001] The present invention relates to the field of big data analysis, in particular to a product recommendation method, device, equipment and computer-readable storage medium based on similar users. Background technique [0002] With the improvement of people's living standards, people's awareness of financial management is gradually increasing, and more and more people use their spare funds to buy financial products, not limited to traditional regular or current savings. The traditional product recommendation method is to recommend the same current main product by placing a large number of product advertisements on Internet sites, or recommending the same current main product on the home page of some product platforms, that is, recommending the same product to different users. However, this kind of "spreading the net" type of publicity behavior is not clear about the target and recommended products, and different users pay different attention to the same p...

AI Technical Summary

Problems solved by technology

However, this kind of "spreading the net" type of publicity behavior is not clear about the target and recommended products, and different users pay different attention to the same product, which makes the effect of this recommendation method very unsatisfactory; at the same time, useless products Pushing will also consume more energy and time for users, and even arouse users' disgust, thus affecting the promotion of products

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