Research on personalized search engine based on user profile

With the rapid development of Internet, the number of accessible web pages has been growing exponentially on the Internet. It therefore has become increasingly difficult for users to find information that satisfies their individual needs. This paper presented a vector-based model developed to improve the effectiveness of search engines. With this model, described by a hierarchy tree, the user preferences (profile) could be defined and recorded. Each of these constructed user profiles was made adjustable in each query to meet precisely his or her individual needs. Furthermore, an adjusting algorithm for the user profile was developed. A series of simulation tests indicated that the precision of the returned web pages was effectively improved.