In this paper, we present our case-based browsing advisor for the Web, called BROADWAY. BROADWAY follows a group of users during their navigations and supports an indirect collaboration to recommend Web pages to visit next. BROADWAY uses case-based reasoning to reuse precise experiences extracted from past navigations with a time-extended situation assessment, i.e. the recommendations are based mainly on the similarity of ordered sequences of past accessed documents. A first experimental evaluation shows that the system improves the information searching task.