In this research of search engine, area of interest of user plays important role. As different user have different search goals during firing a query to the search engine. A major problem with existing search engine is that user search queries are usually short and single word different meaning, and thus are insufficient for specifying users need. Effective personalization cannot be achieved without accurate user profile by using traditional search engine. Traditional systems have not implemented the effective user specific domain approach for personalized search engine. In this project work we have proposed the new user specific domain approach by studying user’s behavior while submitting a query. IN our proposed work we have taken user click through data to obtain the user interest in specific domain. User clicks through data is re-rank the search result obtained. An example of click-through data for the query “virus” which have different meaning as it may be computer virus, bacteria, etc, so query is ambiguous. We get user interest when user click on any link recommendation provided by our search engine so according to clicked recommendations we have provided web page of that recommendation, interested recommendations related to clicked recommendation, noninterested recommendations and also previous 10 day user history on same window .