摘要：Google is one of the top ranked search engine that gives results for a query, asked by user in a form of a list of URL抯 / websites. Google uses Algorithm that displays result based on novelty of content, keywords on sites and Page Rank. Finding answers from websites listed according to ranks is time consuming, as 憂?pages and 憂?websites list are displayed based on the factors it considers. The question is: Can we trust the content displayed by any website just by its number of hits/occurrences alone? and the answer is no. Considering this as our initial question, we thought of throwing an idea on this and proposed a framework that helps user to get the answer quickly and trust it without having a second thought. In this paper, proposed model helps in relevant access of the content. The paper presents an algorithm of believing the website based on 憂?factors. It抯 an apt technique of retrieval system that interacts with the user to rephrase a question in better way, if system is unable to get it. System needs to be trained before the query is posed. The approach combines the concept of framing the question and finding trustworthiness
