Adaptive Strategies in Web-based Learning Systems: A Comparative Survey

The rapid evolution of the Web as the place where to spread and share information, and the growing personalisation of Web applications, have given rise to many interesting approaches enhancing current Web-based learning systems. In particular, our research activity has led to the definition of an innovative adaptive strategy drawn upon the short-term observation of users seeking-behaviour, in order to capture as soon as possible a good approximation of their interests. Therefore, this paper aims at (i) surveying the existing adaptive strategies based on a short, middle and long-term perspective and (ii) at fostering a quite exhaustive comparison between our peculiar approach and other similar adaptive processes.