Improving the evaluation of web search systems

被引：0

作者：

Gurrin, C ^{[1
]}

Smeaton, AF ^{[1
]}

机构：

[1] Dublin City Univ, Sch Comp Applicat, Dublin 9, Ireland

来源：

ADVANCES IN INFORMATION RETRIEVAL | 2003年 / 2633卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Linkage analysis as an aid to web search has been assumed to be of significant benefit and we know that it is being implemented by many major Search Engines. Why then have few TREC participants been able to scientifically prove the benefits of linkage analysis over the past three years? In this paper we put forward reasons why disappointing results have been found and we identify the linkage density requirements of a dataset to faithfully support experiments into linkage analysis. We also report a series of linkage-based retrieval experiments on a more densely linked dataset culled from the TREC web documents.

引用

页码：25 / 40

页数：16

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