The development of the web has created a big challenge for directing the client to the website pages according to their need. Accordingly, just option is to capture the intuition of the client and provide them a list of recommendation. More specifically, the behavior of an online navigation develops with each passing day; consequently extracting information intelligently from it is a tedious task. Webmaster of an organization ought to utilize methods of web mining to fetch intuition, WUM is one among them. Web usage mining is planned to operate on web server logs; logs contain client's behavior towards browsing patternon web which is very useful for the web recommendation. Recommendation is an application of WUM. Consequently, recommendation system can be utilized to forecast the navigation pattern of client and recommend those to client in a recommendation list form. In this paper, we tend to propose a recommendation approach that recommends a listing of pages based mostly upon client's historic pattern (recorded within the web log). This approach brings the advance within the accuracy of the pages displayed to the client or users.