Method and device for determining target object and server

Abstract

The invention provides a target object determination method and device and a server. Based on the method, when a potential customer object needs to be searched for to push a target service product, a corresponding relational knowledge graph can be firstly obtained and constructed according to relational data of a first object; screening the first objects based on the relational knowledge graph, and finding out a second object meeting a preset first requirement; next, a preset potential object prediction model can be called to process the individual data of the second object so as to obtain a prediction result of the second object; According to a prediction result of the second object, screening the second object, and finding out a target object meeting a preset second requirement as a potential customer object so as to push a target service product. Therefore, by comprehensively utilizing the relation data and the individual data of the first object, the potential customer object with a relatively high probability of accepting the target service product can be efficiently and accurately screened out from the first object.

Description

technical field [0001] This specification belongs to the field of artificial intelligence technology, and in particular relates to a method, device and server for determining a target object. Background technique [0002] In the promotion scenarios of many business products (for example, banks promote wealth management products, etc.), based on the existing methods, the staff responsible for business product promotion often cannot fully and effectively use the massive information data of customers, and most of them can only use a few Item data, combined with personal experience, to subjectively judge whether a customer is a potential customer (or potential customer) of a business product. This leads to large errors and low accuracy when determining potential customers, which in turn affects the promotion effect of subsequent business products. [0003] For the above problems, no effective solution has been proposed yet. Contents of the invention [0004] This specificati...

AI Technical Summary

Problems solved by technology

[0002] In the promotion scenarios of many business products (for example, banks promote wealth management products, etc.), based on the existing methods, the staff responsible for the promotion of business products often cannot fully and effectively use the massive information data of customers, and most of them can only use a few Item data, combined with personal experience, to subjectively judge whether a customer is a potential customer (or potential customer) of a business product

This leads to large errors and low accuracy when determining potential customers, which in turn affects the promotion effect of subsequent business products

[0003] For the above problems, no effective solution has been proposed

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