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Study of the E-learning system based on the personalized knowledge search

机译：基于个性化知识搜索的电子学习系统研究

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Due to the fact that most of current E-learning systems have problems of insufficient personalization, this paper puts forward the idea that completes the personalized knowledge search based on the open source E-learning system, then constructs domain ontology that are used to build user interest model, and finally, this model is embedded in Notch search engine to realize the personalized knowledge search. These techniques make the orientation of the E-Iearning system based on learner's learning interests and preference information to adapt to the characteristics of learner curriculum resources and to create a personalized learning environment. Experiments have shown that, through the creation of ontology based on the user interest model, the personalized knowledge search can effectively enhance the learner's learning interests and meet the needs of individual learners' learning.
机译：由于当前大多数电子学习系统存在个性化不足的问题，提出了基于开源电子学习系统完成个性化知识搜索的思想，然后构建用于建立用户的领域本体。兴趣模型，最后将该模型嵌入Notch搜索引擎中，以实现个性化知识搜索。这些技术使基于学习者的学习兴趣和偏好信息的电子学习系统适应了学习者课程资源的特点，并创建了个性化的学习环境。实验表明，通过基于用户兴趣模型的本体创建，个性化知识搜索可以有效地提高学习者的学习兴趣，满足个体学习者的学习需求。

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