BACKGROUND: Nowadays most people daily activity is to search for information on the Web. OBJECTIVE: In web searching, the information retrieved is not appropriate, because it gives ambiguous information for the user query, and the user cannot get relevant information within a time. RESULTS: We proposed a new methodology for information retrieval system by providing the top most exact information to the user. This system aims to provide the correct information to the user from the document collection and communicated to the system by means of user-initiated query. CONCLUSION: The information is given to the end-user with the top most ranking data within the stipulated time and the remaining top information will be moved to the data repository for future use. In this system the proposed algorithm has produced better results than existing system and it costs less online computation time. KEYWORDS: Search Engine, Information Retrieval, Text mining, Term Frequency.