Methodologies for Designing and Evaluating Information Retrieval Experiments

二十多年来，澳大利亚研究人员在信息搜索领域取得了巨大成功。该项目将巩固这一地位。通过开发更好的衡量网络搜索引擎等检索系统性能的指标，我们将能够就如何构建软件以最大限度地提高客户的效用向此类服务的提供商提供建议。有针对性地获取正确的信息是所有组织的目标，无论其类型如何，改进进行信息检索试验的方法将产生广泛和切实的好处。所开发的技术也将适用于文档分类、文本摘要和机器学习等领域。

Australian researchers have been highly successful in the area of information searching for more than two decades. This project will reinforce that position. By developing better measures of how retrieval systems such as web search engines perform, we will be able to advise the providers of such services on how to structure software so as to maximize the utility gained by their customers. Targeted access to the right information is a goal of all organizations, regardless of their type, and improved methodologies for conducting information retrieval experiments will have widespread and tangible benefits. The techniques developed will also be applicable in fields such as document categorization, text summarization, and machine learning.