Neural Network Based Stereotyping for User Profiles
Document Type
Article
Publication Date
1-1-2000
Abstract
This paper discusses an approach of establishing system models of users' task related characteristics, such as domain knowledge in human-computer interaction. Several neural networks are tested for the modelling process. These networks function as associative memories that capture the causal relationships among assumptions about the users' characteristics. The outputs from the networks are considered as stereotypes assigned to individual users. It is suggested that this approach can be expected to overcome some limitations of user modelling approaches in terms of pattern recognition and classification.
DOI
10.1007/s005210070003
MSU Digital Commons Citation
Chen, Qiyang; Norcio, A. F.; and Wang, John, "Neural Network Based Stereotyping for User Profiles" (2000). Department of Information Management and Business Analytics Faculty Scholarship and Creative Works. 95.
https://digitalcommons.montclair.edu/infomgmt-busanalytics-facpubs/95