Situation-Aware Coordination in Multi-agent Filtering Framework

Abstract

In order to obtain an acceptable quality of filtering services under real time conditions, a trade-off between result relevance and response time has to be taken into consideration. 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 situation-aware coordination mechanism which takes care about current resource usability. 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 filtering jobs with duration over 1000 seconds are eliminated with an acceptable decrease in a received feedback value, being within 3%. © Springer-Verlag 2004.