现代信息科技2024，Vol.8Issue(16)：182-188,7.DOI:10.19850/j.cnki.2096-4706.2024.16.038
基于知识图谱的伤寒论课程学习资源推荐模型
Learning Resource Recommendation Model of Treatise on Febrile Diseases Course Based on Knowledge Graph
摘要
Abstract
Combined with the knowledge graph and personalized resource recommendation algorithm,the personalized recommendation of the course learning resources of Treatise on Febrile Diseases is realized to help learners learn more effectively.The knowledge graph in the early research is used to integrate the knowledge of the course ontology to construct the course knowledge graph of Treatise on Febrile Diseases.On this basis,combined with collaborative filtering and path-based recommendation algorithms,a hybrid recommendation algorithm is designed to recommend learning resources to users according to similarity ranking.It provides formal knowledge representation methods and organizational models to meet personalized learning needs,provides learners with resources that are in line with their learning paths,and achieves accurate push.This model can effectively solve the problems of"obscure and difficult to read,boring and difficult to focus,and difficult to interact in teaching"in the course teaching of Treatise on Febrile Diseases,which is helpful for learners to better learn the course of Treatise on Febrile Diseases.关键词
课程知识图谱/伤寒论/资源推荐算法/个性化学习Key words
course knowledge graph/Treatise on Febrile Diseases/resource recommendation algorithm/personalized learning分类
信息技术与安全科学引用本文复制引用
楚龙翔,陶涛,陈国龙,易宇翔,吴豪威,刘东波..基于知识图谱的伤寒论课程学习资源推荐模型[J].现代信息科技,2024,8(16):182-188,7.基金项目
湖南省大学生创新训练项目(S202210241042) （S202210241042）
湖南省中医药管理局科研课题(C2023018) （C2023018）
