DocumentCode :
2590709
Title :
A neural network approach for user modeling
Author :
Chen, Qiyang ; Norcio, A.F.
Author_Institution :
Dept. of Inf. Syst., Maryland Univ., Baltimore, MD, USA
fYear :
1991
fDate :
13-16 Oct 1991
Firstpage :
1429
Abstract :
A neural network approach to user modeling is proposed in the context of information retrieval. User level of expertise and the inquiry interests underlying the goals are considered as two major factors affecting information provision. A prototype system, UM-net, is presented for modeling user domain experiences and the inquiry interests and tailoring the descriptions about software packages provided to a user
Keywords :
information retrieval; neural nets; user interfaces; UM-net; information retrieval; inquiry interests; level of expertise; software packages; user domain experiences; user interfaces; user modeling; Artificial neural networks; Context modeling; Information retrieval; Information systems; Interactive systems; Knowledge representation; Neural networks; Redundancy; Software packages; Software prototyping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-7803-0233-8
Type :
conf
DOI :
10.1109/ICSMC.1991.169889
Filename :
169889
Link To Document :
بازگشت