The Study And Design Of Personalized Search Engine Based On Bilingual Translation

Internet has already become an important way to gain and exchange information resources.With the rapid increase of Web information,it is an extremely challenging work to search the satisfied information in a great deal of information in internet.Although the appearance of traditional search engine enhanced the network information retrieval speed enormously and also solve the problem of information resources orientation to some extent,but they are still unable to satisfy the people's increasing personalized demand of information service.especially they can't make full use of bilingual translation comparison pages' information in internet.Therefore, the combine of personalized search engine and the bilingual auxiliary translation become an important research subject at present.This paper in view of the flaw of user interface personalization aspect which based on large-scale network corpus and bilingual homepage search auxiliary translating system,utilizesexplicit and implicit two ways to gain user interest hobby information, carries on the expansion to the user's needs and achieves the inquiry result which the user wants to obtain truly according to different time ,different people and different places.It will realize the bilingual translation search engine's recall, the accuracy ratio in a deeper level.The main contributions and innovations of this dissertation are as follows:(1) The personalized search engine concept and the basic aspects (meaning,basic type,system architecture,working flow,the insufficiency).(2) The gain of user interest personalized information。The analysis of user interest personalized information's collection methods and the update modes,focusing on the expansion of demand from the user, feature selection as well as the analysis of text cluster.realize the personalized service by the initiative offer and the implicit excavation.(3) The related analysis and research to the correlation realization technique of system modules ,such as Spider improving, words processing and so on.(4) The system model design and realization of the personalized search engine which based on bilingual translation,analysis the function and the application technology of various modules.The research of exploration of this paper is a good theory platform and beginning for the further research of the performance optimization of the user interface personalization in the auxiliary translating systemwhich based on the large-scale corpus and the bilingual pages search.