Modeling Users with Neural Architectures

Qiyang Chen, Anthony F. Norcio

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

This paper proposes and discusses a research framework on building user model system by utilizing artificial neural network (ANN) approaches. First some problems in user modeling are discussed which underlie the motivations of introducing ANN approaches. Secondly 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.

Original languageEnglish
Title of host publicationProceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages547-552
Number of pages6
ISBN (Electronic)0780305590
DOIs
StatePublished - 1992
Event1992 International Joint Conference on Neural Networks, IJCNN 1992 - Baltimore, United States
Duration: 7 Jun 199211 Jun 1992

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume1

Conference

Conference1992 International Joint Conference on Neural Networks, IJCNN 1992
Country/TerritoryUnited States
CityBaltimore
Period7/06/9211/06/92

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