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基于向量空间模型的中文搜索引擎评测系统研究与实现*
引用本文:周凯,李芳,盛焕烨.基于向量空间模型的中文搜索引擎评测系统研究与实现*[J].计算机应用研究,2007,24(12):16-19.
作者姓名:周凯  李芳  盛焕烨
作者单位:上海交通大学,计算机科学与工程系,上海,200240
基金项目:上海市科委国际合作资助项目(045107035)
摘    要:提出了能够综合衡量搜索引擎工作性能的六个评测指标,选择了当今主流的三个搜索引擎:谷歌、雅虎和百度进行评测,成功地在两个大型的数据集上实现了整个自动评测系统。实验表明,谷歌工作性能最稳定;雅虎返回的第一个结果最能满足用户的要求,但会受时间因素的影响;百度明显地受关键字类别因素的影响。最后对中搜、狗、爱问进行了评测。

关 键 词:中文搜索引擎  自动评测  评测指标
文章编号:1001-3695(2007)12-0016-04
修稿时间:2006年9月18日

Research and implementation of Chinese search engines evaluation system based on VSM
ZHOU Kai,LI Fang,SHENG Huan ye.Research and implementation of Chinese search engines evaluation system based on VSM[J].Application Research of Computers,2007,24(12):16-19.
Authors:ZHOU Kai  LI Fang  SHENG Huan ye
Affiliation:(Dept. of Computer Science & Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
Abstract:This paper proposed six targets to evaluate the engines in a comprehensive manner. It focused on the evaluation on the performance of the most popular engines, such as Google, Yahoo and Baidu etc. The system was accomplished and implemented successfully on the two kinds of large scale experimental datasets prepared in advance. Experimental results indicate that Google performs most stably as a whole, Yahoo always returns the best first result while it is a little sensitive to the time factor, Baidu is obviously sensitive to the categories factor. Finally, the system was applied to the other three famous Chinese search engines listed as China search, Sogou and I ask to prove the applicability of this system.
Keywords:Chinese search engines  automatically evaluation  targets
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