DocumentCode
1818316
Title
Modeling users with neural architectures
Author
Chen, Qiyang ; Norcio, Anthony F.
Author_Institution
Dept. of Inf. Syst., Maryland Univ., Baltimore, MD, USA
Volume
1
fYear
1992
fDate
7-11 Jun 1992
Firstpage
547
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location
Baltimore, MD
Print_ISBN
0-7803-0559-0
Type
conf
DOI
10.1109/IJCNN.1992.287155
Filename
287155
Link To Document