基于内容检索的结构化P2P环境中信息对等点的选择

Shuigeng Zhou, Zhengjie Zhang, Weining Qian, Aoying Zhou
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引用次数: 11

摘要

在本演示中,我们提出了一个名为SIPPER的原型系统,SIPPER是结构化P2P环境中基于内容的检索选择信息对等体的缩写。SIPPER与现有P2P-IR系统的区别在于:首先,为了提高检索效率,SIPPER采用了一种新颖的对等点选择方法,将查询引导到网络中相关对等点的一小部分,以搜索全局相关文档;其次,为了降低元数据发布的带宽成本,SIPPER采用了一种新的发布机制,即术语-节点发布机制,它不同于传统的术语-文档模型[2]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SIPPER: Selecting Informative Peers in Structured P2P Environment for Content-Based Retrieval
In this demonstration, we present a prototype system called SIPPER, which is the abbreviation for Selecting Informative Peers in Structured P2P Environment for Content-based Retrieval. SIPPER distinguishes itself from the existing P2P-IR systems by the following two features: First, to improve retrieval efficiency, SIPPER employs a novel peer selection method to direct the query to a small fraction of relevant peers in the network for searching globally relevant documents. Second, to reduce the bandwidth cost of meta data publishing, SIPPER uses a new publishing mechanism, the term-node publishing mechanism, which is different from the traditional term-document model [2].
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