Personalized Content Extraction Method on U-Learning

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.