Title :
Pattern recognition of user´s domain knowledge
Author :
Chen, Qiyang ; Norcio, A.F.
Author_Institution :
Dept. of Comput. & Inf. Sci., Towson State Univ., MD, USA
Abstract :
This paper presents a neural network approach for user modeling. A set of neural networks is utilized to represent and infer users´ task-related characteristics. 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
Keywords :
associative processing; feedforward neural nets; pattern recognition; user modelling; associative user modeling; neural network; pattern classification; pattern recognition; user domain knowledge; user task-related characteristics; Computer networks; Context modeling; Inference mechanisms; Information systems; Intelligent networks; Knowledge based systems; Knowledge representation; Logic; Neural networks; Pattern recognition;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.537925
