A Personalized Search Research Based on Vocabulary Semantic Net

Along with the fast developing of network technology, the number of Web page and user of network search become very enormous. In order to solve the problem of inefficiency and low precision in the search that users have different demand and knowledge background, this paper presents a new text model called vocabulary semantic net which can be applied to build personalized search engine and tested with single query keyword and multi ones by three different calculating policies. The test results show that it can affect the sort of pages. The personalized search based on vocabulary semantic net improves the quality of search results greatly.