DocumentCode
2396375
Title
A framework of personalized information service on fat client
Author
Li, Chi ; Yuan, Fang ; Ya-Nan Hao
Author_Institution
Machine Learning Center, Hebei Univ., Baoding, China
Volume
7
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
4162
Abstract
Personalized information service (PIS) is used to provide users with the useful information according to the personalized interest. Its key technique is the user modeling and the personalized information recommendation. In this paper, we first introduce some concepts and techniques for the key technique, and then propose a framework of personalized information service on fat clients. Finally, experiments show that the system framework and the technique are feasible.
Keywords
client-server systems; information services; personal information systems; user modelling; fat clients; personalized information recommendation; personalized information service; user modeling; Computer science; Displays; Indexing; Information retrieval; Information security; Machine learning; Mathematics; Oceans; Protection; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1384569
Filename
1384569
Link To Document