Agent technology for personalized information filtering: the PIA-system
Proceedings of the 2005 ACM symposium on Applied computing
Web Intelligence and Agent Systems
Electronic Commerce Research and Applications
Speeding Coordination by Combining Analytical and Inductive Learning
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Resource-Aware Update Policy for Highly Dynamic P2P Networks
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
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In order to obtain acceptable quality of filtering services in real time conditions trade-off between result relevance and response time has to be addressed. Ignoring resource availability is a major drawback for many existed systems which try to boost quality by making different synergies between filtering strategies. The essence of the proposed solution for combining filtering strategies is in a comprehensive coordination which both takes care about current resource usability and tries to improve itself during a runtime. The applicability of the presented coordination between filtering strategies is illustrated in a system serving as intelligent personal information assistant (PIA). Experimental results show that long lasting jobs with duration over 1000 seconds are eliminated and that at the same time jobs, being shorter than 10 seconds, can be effectively used for adaptation.