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
卷号：4
期号：7
页码：6186
DOI：10.15680/IJIRSET.2015.0407173
出版社：S&S Publications
摘要：Web search engines (e.g. Google, Yahoo etc.) are used to find the information among a huge amount ofdata within a less amount of time. Most of users prefer these search engines for getting information and the data issearched based on the keyword or query given by users over the internet. The data over the internet is growingdramatically and the users spend lot of time to get the information where the users are provided with irrelevantinformation. Even the users are uncomfortable in exposing private preference information to search engines. In thiscase, personalized web search has demonstrated its effectiveness in improving the quality of various search servicesover the internet and provide privacy protection in PWS applications that models based on the user interest ashierarchical user profiles. A framework called UPS that is used to generalize profiles by queries at the same timerespecting user specified privacy requirements. Mainly, this paper provides effective search and privacy protection inpersonalized web search by runtime generalization that strike balance between search quality and privacy.
