Research of the Chinese meta-search engine model based on intelligent agent

This paper discussed the disadvantages of the current search engines and built a meta-search engine. The system constructed the vector set, which composed of the vectors of each domain, by using the materials having been classified manually. When the user visited the Internet, the historical pages were recorded and downloaded. The system extracted the information from the pages and constructed the vector of every page. The distance between the page vector and the domain vector was calculated. The more the distance the more the relativity. The personalized model of the given user was built by the relativity. Due to the limit of the dictionary, the method of the word segmentation called "a domain independent dictionary free lexical acquisition model for Chinese document" was used. In this paper, some key technologies related to the system were discussed, such as extracting the class keywords, classifying methods, and the algorithm of the page value calculating. In the last paragraph, the future works, such as the storing of semi-structure information, and the calculating of the Web page\´s value were mentioned.