Adaptive hypermedia systems (AHS) combine hypermedia, user modeling techniques and a certain type of artificial intelligence that modifies the structure and contents of hypermedia documents according to each user. We have many Internet users now a days and also there are more number of webpages, it is very difficult for the surfers to find the information they need. Users must browse through a large hierarchy of concepts to find the information for which they are looking for. Users should be provided with web content/links based on their interests and preferences, thus allowing for more efficient and relevant information access. User's interests are based on his/her browsing behavior, the sites he/she visits, his/her prior history, and detailed interactions on web sites of interest to form a user interest profile. This paper focuses on providing adaptive presentation to the surfers which involves personalization, building and updating user profiles by monitoring and storing the users' browsing habits, recommending content/links by web usage logs and providing dynamic links via graphical objects. There are many Hypermedia Systems available which are related to a specific Application. In this paper we study the general purpose Adaptive Hypermedia System (AHLARM) for an application-independent architecture. © 2005 - 2012 JATIT & LLS. All rights reserved.