A comparative study of performance measures for information retrieval systems

被引：0

作者：

Meng, Xiannong ^{[1
]}

机构：

[1] Bucknell Univ, Dept Comp Sci, Lewisburg, PA 17837 USA

来源：

Third International Conference on Information Technology: New Generations, Proceedings | 2006年

关键词：

information retrieval; performance measurement; Web search; user studies; user preference;

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：

Traditional performance measures of information retrieval systems include precision and recall and their variants. While these measures work well in closed-laboratory environments, they are not suitable for practical IR systems such as Web search systems. Many single-value measures were proposed to improve over the precision-recall measure, such as expected search length (ESL), average search length (ASL) and RankPower. We compare in this paper the measures of ESL, ASL, and RankPower applied to a set of real Web retrieval data. The results demonstrate that RankPower indeed is a feasible, effective, and easy-to-use single-value measure for performance of practical IR systems such as Web search engines.

引用

页码：578 / 579

页数：2