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.
|Number of pages||16|
|Journal||Plastics, Rubber and Composites Processing and Applications|
|State||Published - 1 Dec 1997|