A Research on Personalized Retrieval of Mobile Learning Resources

摘要

With the widespread use of mobile devices and fast development of wireless network, m-learning has become another hot topic except e-learning. Considering the less utilization of traditional learning resources and the poor-directed users, this paper puts forward an improved method of m-learning. Due to oceans of m-learning resources, this paper suggests an integration platform of information resources based on granular in order to improve learning efficiency. Meanwhile, personalized concept is introduced into the system. This paper studies personalized problems of hierarchical retrieval model and the methods of how to dynamically obtain users' interest According to the hierarchical features of website structure, the system can actively obtain users' interest as well as output retrieval results based on different users' backgrounds under the help of ant colony algorithm. This method is easy to realize and can effectively trace users' short-term and long-term interest changes. It is suitable for the complicated and changeable network environment.