高阶信息检素问题相关研究进展  

The progress in higher-order information retrieval problems

作　　者：乔亚男[1] 齐勇[1] 侯迪[1] 

机构地区：[1]西安交通大学电信学院,西安710049

出　　处：《中国科技论文在线》2009年第1期1-4,共4页

基　　金：国家自然科学基金项目(90612014);高等学校博士学科点专项科研基金项目(20060698018);863计划项目(2006AA01Z101)

摘　　要：提出高阶信息检索问题这一概念,将多种信息检索的深层次问题统一在1个框架内,给出了词汇共现、语义查询扩展和统计语言模型3个高阶信息检索问题统一解决模型的技术基础,对高阶信息检索问题相关的研究进展进行了阐述,展望了高阶信息检索的发展趋势。The technologies of information retrieval and search engine are both the hotspot of research and business in those days, and the new problems of information retrieval are more and more in the progress of new generation of search engines. This paper proposes the concept of higher-order information retrieval problems, which unites many new informtion retrieval problems in a framework, and considers term co-occurrence, semantic-based query expansion and statistical !anguage models are the basements of united solution model of higher-order information retrieval problems. This paper surveies the progress in higher-order information retrieval problems, and in the last prospects the trend of higher-order information retrieval.

关 键 词：计算机应用 信息检索.词汇共现 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]