基于相似学习风格的资源分类和推荐服务

Classification and Recommendation Service Based on Similar Learning Style Resource

通过研究学习者的学习风格和影响学习风格的因素,根据学习风格的种类对资源进行基于学习对象的分类,把丰富繁杂的学习资源个性化地组合起来;然后综合用户的访问事务,进行基于代理模式和聚类算法的推荐服务;最后根据用户的反馈和评价对现有系统进行完善和改进。

This system by studying the learner＇s learning style and the factors that affect learning styles,according to the learning styles of type on a resource for the classification of based on learning objects, so the rich,personalized leaming resources together.Then according to the user＇s access issues based on proxy mode and clustering algorithm recommendation service, and finally based on user feedback and evaluation on the existing system development and improvement.