Modeling users with neural architectures

Abstract

A research framework for building a user model system by utilizing artificial neural network (ANN) approaches is proposed. First, some problems in user modeling are discussed which underlie the motivations of introducing ANN approaches. Second, some considerations on ANN properties and their applications in task-related user modeling are presented. Finally, an ANN-based, integrated user modeling system is proposed which incorporates conventional symbolic reasoning approaches in a multilevel processing environment.<>