User Recognition in Uncertain Object Oriented User Modelling

User modelling is fast becoming a major topic for commercial and academic research. A major problem in user modelling is in categorising a new user into known user classes. In this paper we consider user classification as a recognition problem where a new user is an uncertain object of undetermined class and we must determine the membership of the object in each of a number of prototypical user classes. The temporal nature of user behaviour suggests a belief updating approach to user recognition. We examine the FILUM approach to user recognition and present a more generalised model. We compare the generalised FILUM model to a new interval support version of Einhorn and Hogarth’s anchor and adjustment belief updating approach. We present an example using the iterated prisoner’s dilemma problem implemented in the Fril++ object oriented uncertain logic programming language.