Title :
Modeling users with neural architectures
Author :
Chen, Qiyang ; Norcio, Anthony F.
Author_Institution :
Dept. of Inf. Syst., Maryland Univ., Baltimore, MD, USA
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
Keywords :
expert systems; inference mechanisms; information retrieval systems; neural nets; user interfaces; ANN; artificial neural network; integrated user modeling; user model system; Adaptive systems; Buildings; Character recognition; Context modeling; Expert systems; Information systems; Predictive models; Production systems; Stability; Uncertainty;
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
DOI :
10.1109/IJCNN.1992.287155
