In this paper we describe an original case-based reasoning (CBR) approach, called Cobra, that aims at predicting users requests in a web site. The basic idea underlying the Cobra approach is to model users navigational behavior in a web site by a set of cases. Typically, in a CBR system a case is composed of at least two parts: the situation or the problem part and the solution one. In the Cobra approach the situation part of a case captures a navigation experience within a user navigation session. The solution part is composed of a set of actions that may explain the transition (i.e. the move from one page to another) which follows the navigation experience described in the case situation part. The proposed case structure and the reuse phase enable to predict the access to pages that have never been visited before by any user. This is a very useful feature that matches prediction requirements in real web sites where the structure and the content change frequently over time.
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