Research and Implementation on Personalized Search Engine

With the rapid development of Internet, how to find useful information rapidly is becoming more and more important. General search engines somewhat satisfy users’ search needs. However, they do not consider users’ interests or background. Search engine will be more personal, intelligent and professional. It is necessary that personalized search engines come to reality. This paper designed and realized personalized search engines system by learning user feedback information. System can be able to optimize searching results and return the results that user is most interested in, also can tell users about other users’ interested modes, in order to make users share searching results with each other and improve the efficiency of searching.