In this paper, a webpage reading recommendation system is constructed through the concept of meta search and article summary technique. The designed system recommends webpages that are related to the current webpage, to provide the user with further reading material. Using article-searching mechanism, the ESL student can avoid using keyword-based search method, thereby greatly decreasing the time spent to look for related articles. The system provides related articles as well as information such as the difficulty of the articles, which would assist English learning, and harbor a more user friendly English learning environment. This in turn increases learning efficiency. A designed toolbar serves as the main medium of communication with the user. All the user has to do is install the toolbar on the browser to gain the assistance from the system.
Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), p.730-734