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首页> 外文会议>IEEE International Conference on Tools with Artificial Intelligence >Clustering-Based Query Routing in Cooperative Semi-Structured Peer to Peer Networks
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Clustering-Based Query Routing in Cooperative Semi-Structured Peer to Peer Networks

机译：协同半结构对等网络中基于聚类的查询路由

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We consider the problem of resource selection in clustered Peer-to-Peer Information Retrieval (P2P IR) networks with cooperative peers. The clustered P2P IR framework presents a significant departure from general P2P IR architectures by employing clustering to ensure content coherence between resources at the resource selection layer, without disturbing document allocation. We propose that such a property could be leveraged in resource selection by adapting well-studied and popular inverted lists for centralized document retrieval. Accordingly, we propose the Inverted PeerCluster Index (IPI), an approach that adapts the inverted lists, in a straightforward manner, for resource selection in clustered P2P IR. IPI also encompasses a strikingly simple peer-specific scoring mechanism that exploits the said index for resource selection. Through an extensive empirical analysis on P2P IR testbeds, we establish that IPI competes well with the sophisticated state-of-the-art methods in virtually every parameter of interest for the resource selection task, in the context of clustered P2P IR.
机译：我们考虑了在具有协作对等方的集群对等信息检索（P2P IR）网络中的资源选择问题。群集的P2P IR框架通过采用群集来确保资源选择层中资源之间的内容一致性而不干扰文档分配，从而与常规的P2P IR体系结构有很大的不同。我们建议可以通过将经过深入研究和流行的反向列表进行集中式文档检索来利用这种属性来进行资源选择。因此，我们提出了反向PeerCluster索引（IPI），这是一种以直接方式适应反向列表的方法，用于集群P2P IR中的资源选择。 IPI还包含一种非常简单的对等特定评分机制，该机制利用上述索引进行资源选择。通过对P2P IR测试平台进行广泛的实证分析，我们发现在集群化P2P IR的背景下，IPI几乎在资源选择任务的每个重要参数中都与先进的先进技术竞争良好。

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