Research And Implementation Of Personalized Learning Recommendation System Based On Knowledge Map

In recent years,with the concept of education informatization,personalized education and K12,traditional education has been transformed into informatization and intelligence.The learning method on the Internet that is not restricted by time and place is favored and liked by the student community.Learning on the Internet has become an indispensable way for students to acquire knowledge.According to research surveys,the number of online learning users has continued to grow at a rate of about 15% per year in recent years.There are countless learning resources on the Internet,and students are free to learn knowledge on the Internet while causing some problems.There is a difference between online learning and traditional classroom learning.Online learning requires students to learn spontaneously and actively,which tests the autonomy of students.Some students do not know how to learn on the Internet,and students cannot know themselves.The mastery of knowledge points or the next question after learning this knowledge point.And in online learning,the recommended learning resources for students do not meet the students' own learning conditions,making the recommendation effect not good.The personalized learning recommendation system based on knowledge graph developed in this paper uses SSM framework,database platform uses MYSQL,graph database neo4 j.Use Scrpay technology to obtain data and extract entities based on tf-idf algorithm.Extract entity relationships based on manual rules.Use the neo4 j graph database to store knowledge graphs.By constructing the knowledge graph of "Introduction to Artificial Intelligence Technology" course,the relationship between knowledge points and knowledge points in the course can be clarified,so that knowledge points are no longer solitary,forming a clear and clear discipline hierarchy.This paper designs and calculates the methods for students to master knowledge points,which can evaluate students' mastery of knowledge points.According to the students' different knowledge of knowledge points,combined with the knowledge graph to generate different knowledge point learning sequences for students.Combining personalized learning recommendation algorithms to recommend testquestions for students.The personalized learning recommendation system based on the knowledge graph can effectively solve the huge learning resources on the network,and students cannot quickly find the knowledge points they want to learn.Students lack autonomy in the process of online learning.Students do not know what knowledge to learn.The existing recommendation system has the problem that the learning resources recommended for students do not conform to the students' own learning situation.The personalized learning recommendation system based on knowledge graph mainly includes student information collection module,teaching resource management module and personalized recommendation module.