A Personalized Intelligent Web Retrieval System Based on the Knowledge-Base Concept and Latent Semantic Indexing Model

Based on the technology of “Intelligent Retrieval Agent” and “semantic-nets of subject areas and Webpage filtering template”, we proposed a Personalized Intelligent Web Retrieval System in the background of network education resources environment in order to research the intellectualization of the personalized retrieval tools searching for educational resources on internet and provide personalized information service for users. Compared with traditional search engines, this retrieval system can search for related concepts by inputting key words more precisely and efficiently.