Results merging in a distributed search system

被引：0
|
作者：
Kluev, V.V. [1 ]
机构：
[1] Core and Info. Technology Center, University of Aizu, Tsuruga Ikki-machi, Fukushima 965-8580, Japan
来源：
Advances in Communications and Software Technologies | 2002年
关键词：
Algorithms - Information retrieval - Internet - Merging - Metadata - Neural networks - Search engines - Servers - Vectors;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Mechanisms of results merging in a distributed search system have been discussed in this paper. Such mechanisms' aims are to select the most relevant documents retrieved by different servers and put them on the top of the list returned to the end u ser. In our calculation, we use the clustering technique to divide retrieved results into several homogeneous groups and a metric on the base of the vector space model to arrange items inside each group. The main thrust of our approach is both the proposed clustering metric and the ranking metric. Our mechanisms have been implemented in the OASIS system, a system which belongs to the distributed search systems in the Internet.
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页码：172 / 177
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