DocumentCode
301429
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
Volume
2
fYear
1995
fDate
22-25 Oct 1995
Firstpage
1148
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICSMC.1995.537925
Filename
537925
Link To Document