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.