Predictive statistical models for user modeling

The limitations of traditional knowledge representation methods for modelin g complex human behaviour led to the investigation of statistical models. P redictive statistical models enable the anticipation of certain aspects of human behaviour, such as goals, actions and preferences. In this paper, we motivate the development of these models in the context of the user modelin g enterprise. We then review the two main approaches to predictive statisti cal modeling, content-based and collaborative, and discuss the main techniq ues used to develop predictive statistical models. We also consider the eva luation requirements of these models in the user modeling context, and prop ose topics for future research.