摘要
校园网已经成为高校信息资源共享和管理的重要平台。网络构建者和网络构建目的不同使得校园网与互联网之间存在着较大差异,这些差异导致校园网搜索引擎的实现需要引进新的技术和方法。通过统计分析,总结出校园网信息资源的特点,并基于这些特点提出了多维度量排序算法等技术,以提高搜索引擎查询准确度。实际构建的校园网搜索引擎系统表现出比传统搜索引擎更优的搜索性能。
Campus Network is an important platform of university information resources (UIR), which differs from Internet in many aspects. New methods and algorithms is used to build a good UIR search engine, Based on the analyses of the differences between campus network and Intemet, corresponding solutions such as multiple metrics ranking algorithm is proposed. A real UIR search engine is conducted and the experimental results show that UIR search engine has many advantages compared with the general Internet search engine.
出处
《计算机工程与设计》
CSCD
北大核心
2006年第24期4629-4631,4634,共4页
Computer Engineering and Design
基金
国家自然科学基金项目(90104002)
关键词
校园网信息资源
搜索引擎
排序算法
相关度
Kendall距离
university information resources (UIR)
search engine
ranking algorithm
relevance
Kendall's distance