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This paper mainly introduces the ontology building, put forward a calculating method of semantic similarity based on ontology, and apply it to build user interest model, learning resource model and personalized recommendation model. Based on the above work, we build a personalized learning system based on ontology. Finally the validity of the model were(More)
Based on learners' personalization features, the personalized learning system can actively recommend learning contents for learners to learn, which fully reflects the thought and idea of modern education. Nowadays, it has become one of the hot research topics in the domain of learning system development. This paper constructs vector space model for learning(More)
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