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OALib Journal期刊
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A node clustering and information retrieval algorithm on P2P system
一种P2P系统节点聚类及信息检索算法

Keywords: Peer-to-Peer (P2P),locality,clustering,Hilbert Space Fill Curve (HSFC),Vector Space Model (VSM)
P2P
,局部性,聚类,Hilbert空间填充曲线,向量空间模型,系统,节点聚类,信息检索算法,system,retrieval,algorithm,information,clustering,搜索效率,稳定高效,模拟测试,相关度排序,结果,查找,洪泛,查询,快速定位,搜索算法,相似,保持能力,特征

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Abstract:

An efficient node clustering and information retrieval algorithm named NCSearch was introduced. By using the Hilbert curve's good locality characteristic of preserving ability, NCSearch clustered the nodes that have similar content and form some clusters. The search algorithm can fast locate the cluster which is most relevant to query and then flood within the cluster, and all returned results were sorted by relevant degree. Simulation results show that, compared to the Gnutella algorithm, NCSearch improves search efficiency.

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