Personalized knowledge service recommendation system based on knowledge graph

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...

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 capabilities and innovative practices Insufficient capacity; doctoral students not prepared for employment outside of academia

However, due to the inability to effectively transmit and integrate all kinds of internal knowledge information, the mode of "fighting alone" makes the ability and quality of doctoral graduates lack or do not match.

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