Understanding the user and his interests is one of the major research areas towards understanding the web today. Many systems and approaches have been proposed in literature, to try and get information about the user's interests by user profiling. Various interest indicators have also been proposed in literature that helped in giving the relevant information about the user and his interests. Having the maximum number of interest indicators and ordering them according to their preferences will make a difference in providing the more relevant information to the user. In this paper we give the relative ordering of various user interest indicators that will help us to build the user profile implicitly which will help in recommending relevant information to the user with high accuracy and confidence. © 2015 IEEE.