Sahin Albayrak, Dragan Milosevic


In nowadays easy to produce and publish information society, filtering services have to be able to simultaneously search in many potentially relevant distributed sources, and to autonomously combine only the best found results. Ignoring a necessity to address information retrieval tasks in a distributed manner is a major drawback for many existed search engines which try to survive the ongoing information explosion. The essence of a proposed solution for performing distributed filtering is in both installing filtering communities around information sources and setting a comprehensive cooperation mechanism, which both takes care about how promising is each particular source and tries to improve itself during a runtime. The applicability of the presented cooperation among communities is illustrated in a system serving as intelligent personal information assistant (PIA). Experimental results show that integrated cooperation mechanisms successfully eliminate long lasting filtering jobs with duration over 1000 seconds, and they do that within an acceptable decrease in feedback and precision values of only 3% and 6%, respectively.


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Paper Citation

in Harvard Style

Albayrak S. and Milosevic D. (2005). DISTRIBUTED COMMUNITY COOPERATION IN MULTI AGENT FILTERING FRAMEWORK . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-19-8, pages 400-407. DOI: 10.5220/0002538004000407

in Bibtex Style

author={Sahin Albayrak and Dragan Milosevic},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,},

in EndNote Style

JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,
SN - 972-8865-19-8
AU - Albayrak S.
AU - Milosevic D.
PY - 2005
SP - 400
EP - 407
DO - 10.5220/0002538004000407