Product recommendation device and method and computer readable storage medium

Abstract

The invention discloses a product recommendation device based on the user influence, which comprises a memory and a processor, and is characterized in that the memory stores a product recommendation program capable of running on the processor. When being executed by the processor, the program implements the steps of acquiring identity information of a target user and a pre-constructed social relation network diagram, wherein the social relation network diagram is constructed according to social relation data and wealth scores of users having insurance service data and banking service data simultaneously; searching associated users of the target user in the social relation network based on the identity information, and calculating an influences score of the target user according to the wealth scores of the target user and the associated users; and selecting a bank product and / or an insurance product corresponding to the influence score for the target user, and recommending the band product and / or the insurance product to the target user. The invention further provides a product recommendation method based on the user influence and a computer readable storage medium. The success rateof product recommendation is improved according to the invention.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to a product recommendation device, method and computer-readable storage medium based on user influence. Background technique [0002] At present, in some fields, such as the financial field, insurance field, etc., the relevant information of the user will be analyzed to infer the products that the user may be interested in, and then the appropriate product will be recommended to the user in a targeted manner. However, the current recommendation The method is still to recommend new products to users based solely on relevant information of users themselves, such as historical purchase records of financial products, etc., resulting in poor results in personalized recommendations and a low recommendation success rate. Contents of the invention [0003] The present invention provides a product recommendation device, method and computer-readable storage medium ba...

AI Technical Summary

Problems solved by technology

[0002] At present, in some fields, such as the financial field, insurance field, etc., the relevant information of the user will be analyzed to infer the products that the user may be interested in, and then the appropriate product will be recommended to the user in a targeted manner. However, the current recommendation The method is still to recommend new products to users based solely on relevant information of users themselves, such as historical purchase records of financial products, etc., resulting in poor results in personalized recommendations and a low recommendation success rate

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