Text Retrieval in Small World P2P Networks

被引：0

作者：

Shi, Qingwei ^{[1
]}

Wang, Xinhai ^{[1
]}

Xu, Guangquan ^{[2
]}

机构：

[1] Liaoning Tech Univ, Sch Software, Huludao, Peoples R China

[2] Tianjin Univ, Sch Comp Sci & Technol, Tianjin, Peoples R China

来源：

2009 INTERNATIONAL SYMPOSIUM ON COMPUTER NETWORK AND MULTIMEDIA TECHNOLOGY (CNMT 2009), VOLUMES 1 AND 2 | 2009年

关键词：

peer-to-peer networks; the small world phenomenon; text retrieval; overlay networks;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

For the flooding problem in Gnutella, a text retrieval method is proposed in unstructured P2P networks based on small world models. Each node in the P2P networks maintains several long-link neighbors and short-link neighbors to build a small world P2P networks. Neighbors update is processed during the query and response. And after each query, weights of the words in documents of neighbor nodes will be revised. This makes it easy to find out the networks topology and contents of other nodes. Experiment results show that the small world P2P networks outperform Gnutella-like networks in the recall rate and search efficiency.

引用

页码：862 / +

页数：2

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