An Intelligent Search Algorithm Based on Skyline Query in Unstructured P2P Systems

Information retrieval has been the important problem of research in unstructured P2P systems. In order to improve the efficiency of the data retrieval, this paper proposed an algorithm for intelligent search based on skyline query technology. Combining the similarity of messages and the hit rate of...

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Hauptverfasser:	Xinsheng Wang, Xiaowei Cui, Leigang Dong, Zhenyu Wang, Jun Liu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Educational institutions Floods Fuzzy systems Information retrieval Information science intelligent search Iterative algorithms Knowledge engineering Peer to peer computing peer-to-peer skyline query Space technology Topology
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Beschreibung
Zusammenfassung:	Information retrieval has been the important problem of research in unstructured P2P systems. In order to improve the efficiency of the data retrieval, this paper proposed an algorithm for intelligent search based on skyline query technology. Combining the similarity of messages and the hit rate of nodes, a best set of neighbour nodes which was sent messages to was obtained by skyline query technology. The experiment shows that it can obviously reduce the number of messages and advance the efficiency of querying.
DOI:	10.1109/FSKD.2008.275