Product pushing method and system

A product, the technology of random forest algorithm, applied in the field of data processing, can solve the problems of cumbersome operation, poor scalability, high cost, etc., to simplify the push process, improve scalability, and reduce push costs.

Active Publication Date: 2020-09-22
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

The existing technology pushes manually sorted products to customers. The operation is cumbersome, the scalability is poor, and the cost is high, which cannot meet the product push requirements in the new situation.

Method used

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  • Product pushing method and system
  • Product pushing method and system
  • Product pushing method and system

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Embodiment Construction

[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0027] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, device, method or computer program product. Therefore, the present disclosure may be embodied in the form of complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0028] In view of the cumbersome operation, poor scalability, and high cost of pushing manua...

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Abstract

The invention provides a product pushing method and system. The product pushing method comprises the steps of obtaining current customer features of a customer and product features of existing products; inputting the current customer features and the product features of the existing products into a product decision tree model created based on historical customer features and product features undera random forest algorithm to obtain product prediction values of the existing products; determining product pushing parameters of the existing products according to the product prediction values; andsorting the product pushing parameters according to a descending order, and pushing the existing products sorted in front of a preset product column to the customer. According to the invention, the pushing process can be simplified, the pushing expandability is improved, and the pushing cost is reduced.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method and system for pushing products. Background technique [0002] The intelligent marketing management (EBM) mode based on the rapid and accurate detection of customers' financial needs based on data warehouse can help commercial banks acquire the ability to capture and respond to customers' rational and emotional needs at critical moments. EBM has become an effective marketing management method and has brought considerable operating benefits to commercial banks. Compared with the traditional mass marketing that achieves a customer marketing success rate of 0.6%, it can achieve a customer marketing success rate of 18%-34%. Rate. [0003] With the vigorous development of the business in the industry, the volume of marketing activities is increasing, but the number of product columns that can be exposed to customers is limited. The existing technology pushes...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q40/02G06Q40/06G06N5/00G06N20/00
CPCG06Q30/0271G06Q30/0255G06Q40/02G06Q40/06G06N20/00G06N5/01
Inventor 周誉匡蕴娟戴若澄
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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