Modeling a User's Domain Knowledge With Neural Networks
Document Type
Article
Publication Date
12-1-1997
Journal / Book Title
International Journal of Human-Computer Interaction
Abstract
This article presents a neural network approach for user modeling. A set of neural networks is utilized to represent and infer users' task-related characteristics. These networks function as associative memories that can capture the causal relations among users' characteristics for the system adaptation. It is suggested that this approach can be expected to overcome some inherent problems of the conventional stereotyping approaches in terms of pattern recognition and classification of user characteristics.
DOI
10.1207/s15327590ijhc0901_2
MSU Digital Commons Citation
Chen, Qiyang and Norcio, A. F., "Modeling a User's Domain Knowledge With Neural Networks" (1997). Department of Information Management and Business Analytics Faculty Scholarship and Creative Works. 93.
https://digitalcommons.montclair.edu/infomgmt-busanalytics-facpubs/93
Published Citation
Chen, Q., & Norcio, A. F. (1997). Modeling a User’s Domain Knowledge With Neural Networks. International Journal of Human–Computer Interaction, 9(1), 25–40. https://doi.org/10.1207/s15327590ijhc0901_2