期刊名称:International Journal of Computer Science & Technology
印刷版ISSN:2229-4333
电子版ISSN:0976-8491
出版年度:2013
卷号:4
期号:4
页码:199-203
语种:English
出版社:Ayushmaan Technologies
摘要:There are some problems of mobility of learning, personalized presentation and recommendation under eDLTV. We therefore propose an adaptive eDLTV mobile application. Adaptive presentation and navigation is concerned in order to suggest learning resources. In addition, the context-aware ubiquitous support is concerned in suggesting related places with the current watched learning resource. Linear-classifiers algorithm is also adopted in processing the ordering within a list of places according to places’ rating and distance. The results from experiments show that eDLTV with adaptation techniques is better than nonadaptative one. Users are satisfied with adaptive and contextualized techniques on eDLTV. In the future, we plan to consider the media annotation in assigning the media fragment into subject matters, in order to enhance the recommendations to videos fragments.