期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
期号：ICETET
页码：260
出版社：S&S Publications
摘要：personalized web search is mainly used for improving quality of various web search.PWS provides thebetter search results which are based on user private information. The user creates the profile which contains userpersonal details. In existing system click log based and profile generalization methods are used to provide accurateresult. But these methods are not efficient because, the click log search results based on user click query and Profilegeneralization result is based on recent search results. To overcome these problems two greedy algorithms areproposed. There are GreedyDP and GreedyIL. The client receives the user query and server replay the answer to theclient. Finally, GreedyDP and GreedyIL is increased the efficiency of search engine. In the web search is used forprivacy. Personalized web search is easy to applicable and protect the information. During the runtime algorithm iseffectively to give the correct result. In the concept is preventing the interception data between other users. It is highlevelof privacy to search the information. This provided accurate result from the search. The effectiveness frameworkis designing for the project. The framework allowed users to specify customized privacy requirements via thehierarchical profiles. The results also confirmed the effectiveness and efficiency of the solution.
