Personalized knowledge service recommendation system based on knowledge graph

A technology of knowledge graph and recommendation system, applied in unstructured text data retrieval, text database query, instruments, etc., can solve the problem of narrow research field, lack of ability and quality of doctoral graduates, and inability to effectively transfer and integrate knowledge information, etc. question

Pending Publication Date: 2021-09-03
曼汉教育科技(上海)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] The outstanding problems and deficiencies in doctoral education include single educational goals, too narrow and specialized research fields, mainly taking disciplines as the training unit; not paying attention to the cultivation of students' extensive and necessary general abilities, interdisciplinary collaborative research capa

Method used

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  • Personalized knowledge service recommendation system based on knowledge graph
  • Personalized knowledge service recommendation system based on knowledge graph
  • Personalized knowledge service recommendation system based on knowledge graph

Examples

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Embodiment Construction

[0044] like figure 1 — image 3 As shown in the figure, a personalized knowledge service recommendation system based on knowledge graph includes a doctoral reading and running service module 100, an online project-based scientific research and academic counseling service module 200, an innovation and entrepreneurship training service module 300, and a question-and-answer community service module 400.

[0045] In this embodiment, the blog reading and running service module 100 includes a knowledge graph construction unit 101, a knowledge query unit 102, a knowledge learning path planning unit 103, and a knowledge extension unit 104;

[0046] The knowledge graph construction unit 101 is used for users to construct their own knowledge graph system;

[0047] Specifically, when the knowledge graph construction unit 101 constructs a knowledge graph system, the following steps are included:

[0048]Step 1, obtain the request for adding knowledge points initiated by the user; the re...

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Abstract

The invention discloses a personalized knowledge service recommendation system based on a knowledge graph, and the system comprises a blog reading and running accompanying service module which comprises a knowledge graph construction unit, a knowledge query unit, a knowledge learning path planning unit, and a knowledge extension unit. The knowledge graph construction unit is used for a user to construct an own knowledge graph system; the knowledge query unit is used for querying the content of knowledge points in an existing knowledge graph in the system; the knowledge learning path planning unit is used for recommending new knowledge points to the user for learning after the user finishes learning one knowledge point; and the knowledge extension unit is used for pushing extended knowledge points to the user, and the extended knowledge points are knowledge points not in the knowledge graph system of the user. According to the invention, the user can be helped to obtain effective transmission and fusion among various types of learned knowledge information.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to a personalized knowledge service recommendation system based on a knowledge graph. Background technique [0002] Global data is growing at an annual rate of 58%, and the base of global data is very large, making people drowned in the ocean of data, of which only 3% of the data has label information, and 0.5% of the data is analyzed, so the information cannot be effectively obtained. In order to solve the information overload, search engines and recommendation systems with filtering and filtering functions are proposed. The former can quickly feedback the content related to the user's description, and the latter can recommend suitable content for the user in a personalized manner, assisting the user to quickly decision making. Compared with search engines and recommendation systems, search engines are mainly aimed at information services with clear and...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/33G06F16/335
CPCG06F16/367G06F16/335G06F16/334
Inventor 孙冰景潇潇唐燕琪唐秋香
Owner 曼汉教育科技(上海)有限公司
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