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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1384569
