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Personalized solution recommendation method and system based on big data knowledge base

A solution and recommendation method technology, applied in the field of computer technology and artificial intelligence, can solve the problems of wrong solution recommendation results, deviation of recommended solutions, delay of timeliness, etc., to achieve the effect of timeliness and speediness

Active Publication Date: 2016-11-16
SOUTH CHINA NORMAL UNIVERSITY
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above method relies too much on the subjective experience and theoretical knowledge of experts or expert databases. At the same time, once the knowledge of experts or expert databases is wrong, wrong solution recommendation results will be generated, and the recommended solutions will be biased. Has an adverse effect, delaying the timeliness of users getting an effective solution

Method used

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  • Personalized solution recommendation method and system based on big data knowledge base
  • Personalized solution recommendation method and system based on big data knowledge base
  • Personalized solution recommendation method and system based on big data knowledge base

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Embodiment Construction

[0027] In order to make the purpose, technical solution and advantages of the present invention clearer, the specific implementation of the personalized solution recommendation method and system based on the big data knowledge base of the present invention will be further described in detail through the following examples and in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0028] Such as figure 1 As shown, in one embodiment, a solution recommendation method is proposed, the method includes:

[0029] Step 102, acquiring the user's question information and personal information, using the user's question information as the first question information, and using the user's personal information as the first personal information.

[0030] In this embodiment, the user's question information and personal information can be acquired t...

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Abstract

The invention puts forward a solution recommendation method. The method comprises the following steps: obtaining the problem information and the personal information of a user, taking the problem information of the user as first problem information, and taking the personal information of the user as first personal information; matching the first problem information and the first personal information with problem information and personal information in the knowledge base, and determining second problem information and second personal information matched with the first problem information and the first personal information; obtaining a solution corresponding to the second problem information and the second personal information; and recommending the obtained solution to the user. Timeliness and quickness for obtaining the solution are realized, and the recommended solution is more reliable since the method and the system do not depend on personal subjective experience but according to objective historical data for solving problems and the personal information of the user is combined for recommendation. In addition, the invention also puts forward a solution recommendation system.

Description

technical field [0001] The invention relates to the fields of computer technology and artificial intelligence technology, in particular to a method and system for recommending personalized solutions based on a big data knowledge base. Background technique [0002] At present, the traditional problem-solving communication mode is that users need to find experts in professional institutions, and communicate with experts face-to-face. According to users' problems, experts conduct reference reasoning through consultation results, their own experience, or existing data in the expert database. The solution to the user's problem is recommended to the user. The above method relies too much on the subjective experience and theoretical knowledge of experts or expert databases. At the same time, once the knowledge of experts or expert databases is wrong, wrong solution recommendation results will be generated, and the recommended solutions will be biased. It has adverse effects and de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06N5/02
CPCG06F16/9535G06N5/025
Inventor 朱定局
Owner SOUTH CHINA NORMAL UNIVERSITY
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