Static and Dynamic Query Pruning Techniques for Complex Text Retrieval Systems

复杂文本检索系统的静态和动态查询修剪技术

• 批准号: DP0880065
• 负责人: Prof Alistair Moffat
• 金额: $ 16.52万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2008
• 资助国家: 澳大利亚
• 起止时间: 2008-04-01 至 2011-04-01
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0880065
• 关键词: Static; Dynamic; Query; Pruning; Techniques

Targeted access to the right information is a goal of all organizations, regardless of their type, and improved methodologies for implementing information retrieval systems have widespread and tangible benefits. Australian researchers have been highly successful in this area of information searching for more than two decades, and this project will reinforce that position. By developing techniques for providing faster search, even in the presence of complex query variants and distributed implementations, we will be able to advise the suppliers of such services on how to provide a maximally useful product.

有针对性地访问正确的信息是所有组织（无论其类型如何）的目标，并且改进的实施信息检索系统的方法具有广泛且切实的好处。 二十多年来，澳大利亚研究人员在这一信息搜索领域取得了巨大成功，该项目将巩固这一地位。 通过开发提供更快搜索的技术，即使存在复杂的查询变体和分布式实现，我们也将能够就如何提供最有用的产品向此类服务的供应商提供建议。