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Financial product recommendation method and device based on big data, equipment and storage medium

A financial product and recommendation method technology, applied in the field of big data, can solve the problem of low accuracy of recommendation methods, achieve the effect of improving recommendation accuracy and increasing product order volume

Pending Publication Date: 2022-01-18
PING AN BANK CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to solve the problem of low accuracy of existing financial product recommendation methods based on big data

Method used

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  • Financial product recommendation method and device based on big data, equipment and storage medium
  • Financial product recommendation method and device based on big data, equipment and storage medium
  • Financial product recommendation method and device based on big data, equipment and storage medium

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Embodiment Construction

[0054] Embodiments of the present invention provide a big data-based financial product recommendation method, device, equipment, and storage medium, with higher recommendation accuracy.

[0055] The terms "first", "second", "third", "fourth", etc. (if present) in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It is to be understood that data so used may be interchanged under appropriate circumstances so that the embodiments described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the term "comprising" or "having" and any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to those explicitly listed instead, may include other steps or e...

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Abstract

The invention relates to the field of big data, and discloses a financial product recommendation method and device based on big data, equipment and a storage medium. The method comprises the steps: performing channel classification on financial products based on a channel division rule to obtain an initial financial product list of a plurality of business channels; if a product recommendation request sent by a terminal is received, screening out a target financial product list according to the product recommendation request; calculating the similarity between the target product in the product recommendation request and each financial product in the target financial product list, and screening out a plurality of similar financial products of which the similarity is greater than a preset threshold value; and calculating the matching degree between each similar financial product and the target user, and outputting and displaying the similar financial products of which the matching degrees are greater than a preset threshold value on the terminal. According to the method, the business channels of the financial products are classified, and product recommendation is carried out on the users of the business channels in a differentiated manner, so that the recommendation accuracy is improved.

Description

technical field [0001] The present invention relates to the field of big data, in particular to a method, device, equipment and storage medium for recommending financial products based on big data. Background technique [0002] With the gradual change of residents' wealth management habits, residents' wealth has gradually migrated from bank savings represented by time deposits and demand deposits to financial products represented by fund products, bank wealth management products, and structured deposit products; therefore, The competition among financial institutions is becoming increasingly fierce. How to accurately recommend personalized financial products for each customer has become an important means for financial institutions to improve their competitiveness and the key to reducing marketing costs. [0003] The existing financial product recommendation method is to generate a corresponding user portrait for each user, so as to recommend corresponding financial products...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06Q30/06G06Q40/06
CPCG06F16/9535G06Q30/0631G06Q40/06
Inventor 冯孟岳周丽佩
Owner PING AN BANK CO LTD
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