Using Past Queries for Fast and Accurate Web Searching
Using Past Queries for Fast and Accurate Web Searching
批准号:
DP0558916
负责人:
Prof Andrew Turpin
金额:
$24.28万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2005
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2005-02-20 至 2010-06-30
中文摘要
搜索整个互联网或公司网站,已成为现代组织的一项重要任务。虽然已经有大量研究通过使用网页本身来改进搜索引擎,但很少有人关注通过利用用户每天向搜索引擎提交的大量查询来改进网络搜索。该项目将使用最先进的压缩和算法技术,利用从数以百万计的互联网查询中收集的数据(由微软提供)来提高网络搜索的速度和准确性。搜索引擎的改进将给澳大利亚的许多行业带来直接好处,并支持政府的优先领域--“智能信息使用”。
英文摘要
Searching the entire Internet, or a company web site, has become a vital task for modern organisations. While there has been significant research into improving search engines through using web pages themselves, very little attention has been paid to improving web search by exploiting the vast numbers of queries that users submit to search engines each day. This project will use state of the art compression and algorithmic techniques to improve the speed and accuracy of web search using data gleaned from millions of Internet queries (provided under agreement by Microsoft). Improving search engines will have a direct benefit to many Australian industries, and support the government's priority area of "smart information use".
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