A Multicontext-aware Resource Recommendation Mechanism for Service-oriented Ubiquitous Learning Environment

作者：Luo Junzhou^*; Dong Fang; Cao Jiuxin; Song Aibo; Liu Bo

来源：3rd International Conference on Pervasive Computing and Applications, 2008-10-06 To 2008-10-08.

DOI：10.1109/icpca.2008.4783717

• Ubiquitous learning
• multicontext
• resource recommendation

As it is very difficult for learners to find the most proper contents according to their preferences from massive resources in U-Learning environment, the resource recommendation mechanism as a core component must be introduced. On the other hand, traditional recommendation mechanisms have been widely studied in e-business and personalized service fields in which most of them only take into account the single learner's preference. However, in service-oriented it-learning environment, the dynamic features of resources and services may implicitly affect the recommendation results; meanwhile the other learners' preferences may also make a significant effect on the recommendation process. Based on these limitations, in our study, a multicontext-aware resource recommendation model and strategy for service-oriented ubiquitous learning environment is proposed with taking into consideration not only the services and learners' dynamic context information Finally. by presenting our prototype system and illuminating a typical scenario, we could show that our proposal can help learners obtain the proper resources to enhance the learning efficiency.

• 出版日期2008
• 单位东南大学