Research On Personal Search Engine Based On User Interest

With the rapid development of Internet technology the network can provide people more and more information.Search engine has been widely used in many fields,which is treated as a tool that people can get information on World Wide Web.In order to provide personalized search service for users,personalized search engine comes forth.Because of many researchers contribution,people have made great progress in personalized search engine.Aiming at the existing problems in current search engine systems,this paper is expected to develop a personalized search engine based on user interest.First,this paper introduces the main background knowledge of traditional search engines and personalized search engine,also introduces the Lucene open source technologies.Then,after learning some technical knowledge of developing personalized search engine,this paper proposes the frame and processes of search engine.This frame is to achieve the aim of reducing the servers'load.This kind of frame can also solve the problem of the sort error caused by client-sorted users'interests without losing flexibility.Finally,In this paper,When implementing the search engine,we have introduced peronalized based on user interest in sorting algorithm and personalized query expansion algorithm. The experiment results show the feasibility of these designs and algorithms,determine the direction of my future research.