Research on Personalized Query Optimization Service in E-learning System

According to the traditional search engine´s lack of understanding the semantic query intension and providing personalized service in e-Learning systems, this paper presented a personalized query optimization service to satisfy both semantically and personalized searching demands of the user by semantic mining from user´s searching information to build the user model which is exploited to perceive the query intension of the user. To testify the effectiveness of the service, some experiments are carried out and the results show that the search service has been improved.