Capturing Intuition of Online Users using a Web Usage Mining

Abstract

A real world challenging task for Web master of a Web site is to match the user needs and keep their attention in their Web site. Because, it's easy for the Web users to reach out the counterpart sites by a single click. So, only option for Web master is to provide the pages by capturing the intuition of their user. Web master should use the WUM method to capture user intuition. A WUM is designed to operate on Web server logs which contains user navigation. Hence, WUM system can be used for forecasting the navigation of user and recommend those to user. However, the accuracy of intuition capturing cannot still satisfy the users especially in the huge site where there are more topic of interest. To capture the intuition of users efficiently, We proposed a two tier intelligent agent based architecture for capturing users intuition in WUM system and also suggested a GCD algorithm for classifying user navigation patterns to capture user intuition. The practical implementation of our proposed architecture and algorithm in it shows that accuracy of user intuition capturing is very much improved.