【摘要】 成人继续教育学习者面临海量且分散的学习资源,如何实现高效、精准的资源获取成为亟待解决的问题。本文提出了一种基于情境感知与知识图谱协同驱动的学习资源智能推荐方法。通过构建“学习者-场景-知识”三元协同模型,融合情境感知技术和知识图谱,动态生成个性化学习资源推荐。通过分析学习者的行为特征和情境信息,动态生成兴趣模型,并结合语义关联的知识图谱进行资源匹配与推理,从而实现“因人而异、因时而变”的个性化推荐。更多还原

【Abstract】 Adult continuing education learners face a vast and dispersed pool of learning resources,making efficient and precise resource acquisition an urgent challenge.This paper proposes an intelligent recommendation method for learning resources driven by the synergy of context awareness and knowledge graphs.By constructing a "learner-scenario-knowledge" triadic collaborative model that fuses context-aware technologies with knowledge-graph structures,personalized learning-resource recommendations are dynamically generated.Learners ’ behavioral traits and contextual information are analyzed to build a dynamic interest model,which is then combined with a semantically linked knowledge graph for resource matching and inference.This approach achieves truly personalized recommendations that adapt both to individual learner differences and to changing situational factors.更多还原