Distributed information retrieval by using cooperative meta search engines

N. Sato, M. Uehara, Y. Sakai, H. Mori
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引用次数: 16

Abstract

Information retrieval is frequently used for the Internet. However, we face the problem that the update intervals of conventional search engines are too long. It is difficult for conventional search engines to make their intervals short because they are based on a centralized architecture. So, we proposed the Cooperative Search Engine (CSE), which is based on a distributed architecture. CSE can realize the shortening of the update interval. In CSE, a large search engine is constructed from multiple local meta search engines that cooperate with each other. CSE can accomplish correct ranking in a distributed fashion because each local meta search engine hides the difference between its local search engine and the others. The article discusses the design and experimental evaluations of CSE.
基于协同元搜索引擎的分布式信息检索
信息检索是Internet上常用的一种方法。然而,我们面临的问题是,传统的搜索引擎的更新间隔太长。传统的搜索引擎很难缩短搜索间隔,因为它们是基于集中式架构的。为此,我们提出了基于分布式架构的协同搜索引擎(CSE)。CSE可以实现更新间隔的缩短。在CSE中,大型搜索引擎是由多个本地元搜索引擎相互协作构建而成的。CSE可以通过分布式方式完成正确的排名,因为每个本地元搜索引擎隐藏了其本地搜索引擎与其他搜索引擎的差异。本文讨论了CSE的设计和实验评价。
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