【摘要】 提出了一种U-Learning中个性化内容提取方法,以帮助学生在泛在环境下获取个性化的学习对象。该方法可以在混合信息的基础上,按相似度的顺序生成个性化的搜索结果。使用学生的历史信息、当前地理位置信息及输入查询信息,用以过滤掉不相关的搜索结果,提高泛在环境下学习内容的获取效率。更多还原

【Abstract】 In this paper,the U-learning personalized content extraction method is proposed for assisting learners to obtain personalized objects under ubiquitous environment.On the basis of the mixed information,the proposed method can produce personalized search results according to the order of similarity degree.Besides,the information of learner′ s history,current geography,and input query can be utilized to filter out irrelevant search results and to enhance the efficiency of obtaining learning content in a ubiquitous environment.更多还原