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Strategy Coordination Approach for Safe Learning About Novel Filtering Strategies in Multi Agent Framework

  • Sahin Albayrak
  • Dragan Milosevic
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3930)

Abstract

In commercial and information reach society, the properties of novel filtering strategies have to be explored without dramatically increasing response time while trying to combine them to effectively use available system resources. The major drawback of many existing systems, which try to make different synergies between filtering strategies, is usually concerned with not taking care of the availability of resources, being especially critical for the realisation of successful commercial deployments. The essence of a presented solution is both in the encapsulation of many known searching algorithms inside separate filtering agents, and in the integration of flexible resource aware coordination mechanisms into one manager agent. The flexibility of a realised coordination scheme in facilitating an easy integration of novel strategies is practically demonstrated in an intelligent personal information assistant (PIA). Experimental results, obtained during a 2 week internal PIA usage, show the elimination of jobs longer than 1000s together with an increase of up to 10% in a received feedback values.

Keywords

Recommender System System Resource Collaborative Filter Multi Agent Coordination Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sahin Albayrak
    • 1
  • Dragan Milosevic
    • 1
  1. 1.DAI-LaborTechnical University BerlinBerlinGermany

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