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Product recommendation method and device, rule engine and storage medium

A technology of products and rules, applied in rule engines and storage media, product recommendation methods, and device fields, can solve problems such as inability to provide basis for user recommendation, unsatisfactory recommendation of financial products, and lack of user transaction information, so as to achieve a reasonable product recommendation effect

Pending Publication Date: 2021-01-05
CHINA CONSTRUCTION BANK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in some special application scenarios, such as the recommendation of wealth management products, the user's transaction information is scarce, and the user's subjective preference cannot be used as the basis for recommendation
Therefore, the existing recommendation system cannot meet the needs of reasonably recommending financial products for users

Method used

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  • Product recommendation method and device, rule engine and storage medium
  • Product recommendation method and device, rule engine and storage medium
  • Product recommendation method and device, rule engine and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] Figure 1a It is a flow chart of a product recommendation method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation in the financial field where investment and wealth management products are recommended for users. The method can be executed by a product recommendation device, which can be implemented by software, and / or implemented in hardware, the device can be integrated in the rule engine, such as Figure 1a As shown, the method specifically includes:

[0030] Step 110: Obtain basic user information of the target recommended user, and determine at least one user requirement description parameter corresponding to the basic user information.

[0031] Among them, the basic information of the user may be the information data when investing in wealth management products with the financial field. Exemplarily, the basic user information may include information data for risk tolerance assessment, such as age, gender, industry, ...

Embodiment 2

[0046] Figure 2a It is a flowchart of a product recommendation method provided in Embodiment 2 of the present invention. This embodiment is a further refinement of the above-mentioned technical solution. The technical solution in this embodiment can be compared with each of the above-mentioned one or more embodiments. combination of options, such as Figure 2a As shown, the method includes:

[0047] Step 210, acquiring basic user information of the target recommended user, and acquiring the type of investment demand of the target recommended user according to the basic user information.

[0048] Wherein, the rule engine or the intelligent terminal can classify the basic information of the users. For example, unsupervised clustering is used to classify the users according to the internal relationship of the basic user information of each user. For example, into three categories. There can be types of investment needs with the same theme for the same category. Alternatively...

Embodiment 3

[0077] image 3 It is a schematic structural diagram of a product recommendation device provided in Embodiment 3 of the present invention. combine image 3 , the device includes: a user demand description parameter determination module 310 , a target product recommendation rule acquisition module 320 and a target recommended product acquisition module 330 .

[0078] The user needs description parameter determination module 310 is used to obtain the user basic information of the target recommended user, and determine at least one user demand description parameter corresponding to the user basic information;

[0079] The target product recommendation rule acquisition module 320 is used to query the product recommendation rule library and obtain the target product recommendation rules matching the user demand description parameters, and the product recommendation rules define the mapping relationship between the user demand description parameters and the financial field indicato...

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Abstract

The embodiment of the invention discloses a product recommendation method and device, a rule engine and a storage medium. The method comprises the steps of obtaining user basic information of a targetrecommendation user, and determining at least one user demand description parameter corresponding to the user basic information; querying a product recommendation rule base, obtaining a target product recommendation rule matched with the user demand description parameters, and defining a mapping relationship between the user demand description parameters and financial field indexes in the productrecommendation rule; according to a target financial field index included in the target product recommendation rule, obtaining a matched target recommendation product and providing the target recommendation product for the target recommendation user. According to the method, product recommendation can be carried out through professional financial knowledge according to the basic information of the user without depending on transaction information or subjective preferences of the user, and product recommendation is more reasonable.

Description

technical field [0001] The embodiment of the present invention relates to the field of financial technology, and in particular to a product recommendation method, device, rule engine and storage medium. Background technique [0002] When recommending products, the recommendation system is usually used to analyze the user's behavior, find out the user's individual needs, and recommend long-tail products to the user. State-of-the-art recommender systems rely on user behavior data, such as the user's history of browsing products or purchasing products. [0003] However, in some special application scenarios, such as the recommendation of wealth management products, the user's transaction information is scarce, and the user's subjective preference cannot be used as the basis for recommendation. Therefore, the existing recommendation system cannot meet the needs of reasonably recommending financial products for users. Contents of the invention [0004] Embodiments of the pres...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q40/06
CPCG06Q30/0255G06Q30/0271G06Q40/06
Inventor 秦璐李斌陈凯
Owner CHINA CONSTRUCTION BANK
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