Homepage Finding in Hybrid Peer-to-Peer Networks

Enrico Bragante, M. Melucci
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Abstract

This paper illustrates a ranking scheme which combines fulltext, anchor text and URL structure for homepage finding in hybrid peer-to-peer networks. The experimental results show that the proposed ranking scheme permits to find the correct homepages after exploring a small portion of a hybrid, hierarchical peer-to-peer network when the group of peers which includes the peer that stores the correct homepage is selected. A large, highly heterogeneous Web data test collection searched by homepage finding queries was used. The low computational overhead and the good effectiveness allow for an implementation in information retrieval environments.
在混合点对点网络中查找主页
本文提出了一种结合全文、锚文本和URL结构的混合型对等网络主页搜索排序方案。实验结果表明,当选择包含存储正确主页的对等点的对等点组时,所提出的排序方案允许在探索混合分层对等网络的一小部分后找到正确的主页。使用了通过主页查找查询搜索的大型、高度异构的Web数据测试集合。低计算开销和良好的有效性允许在信息检索环境中实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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