Product recommendation method and device, storage medium and electronic equipment

Abstract

The invention provides a product recommendation method and device, a storage medium and electronic equipment. The method comprises the following steps: determining a node corresponding to a target customer and a node corresponding to each target product which is not purchased by the target customer through a knowledge graph network trained based on a webpage ranking algorithm, and determining a ranking index of the node corresponding to each target product; wherein the ranking index represents the probability that the node corresponding to the target customer walks to the node corresponding tothe target product; and determining a recommendation index of the target product based on the ranking index of the node corresponding to each target product, and selecting a plurality of recommendation products from all the target products according to the recommendation index of each target product to recommend the products to the target customer. By applying the method provided by the invention, the recommended products are determined based on the random walk of the nodes in the network, so that the diversity of the products recommended to customers is improved, the accuracy of personalizedrecommendation is improved, the product recommendation effect is improved, and the service experience is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a product recommendation method and device, a storage medium and electronic equipment. Background technique [0002] In the normal operation process of financial institutions, recommending products to customers to guide customers to purchase products is a common way to broaden business channels. Among them, the product recommended to customers is one of the key factors affecting the recommendation effect. [0003] At present, it is usually based on recommendation algorithms such as binary classification or collaborative filtering to personally determine the products recommended to customers. The main method is to use the products that customers have signed as reference objects, and then find products that are highly similar to the reference objects through the similarity between products, and recommend them to customers, or use customers' behavior habits to recommend contracte...

AI Technical Summary

Problems solved by technology

[0005] In view of this, the embodiment of the present invention provides a product recommendation method to solve the problems of low accuracy of personalized recommendation, affecting product recommendation effect, and poor customer service experience

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