This paper describes an ongoing research project to design a Group Adaptive System (GAS) for collaborative navigation on the web. Our objective is to provide information that adapts to web users based on automatically determined, dynamic user groups. To do this, our approach takes into account the structure of the web (using the CLEVER algorithm [16]) and user interactions when navigating the web (gathered by our collaborative environment) to offer users in a consistent information space determined by their interests and activities. In the end, our system, GAS, enables users to perform asynchronous collaborative navigation by combining resources discovered by a group of users and suggestions discovered by the CLEVER algorithm to provide recommendations to the group.