摘要
从搜索范围、界面设计、检索功能和用户支持度等6个角度提出图像搜索引擎性能评价体系,运用模糊层次分析法,对Google、Ditto和百度的性能进行定量评价,得出Google>Ditto>百度的结论,并认为利用FAHP对图像搜索引擎进行性能评价具有一定的可行性和合理性,若与定性分析相结合将有助于评价准确性的提高。
This paper presents a comprehensive evaluation system of image search engines from aspects of the search scope, interface design, retrieval function, retrieval effect, retrieval result and user help. By using FAHP, the paper makes a quantitative analysis on the performance of search engines such as Google, Ditto and Baidu. And the result shows that Google performs better than Ditto, and Ditto performs better than Baidu. The authors consider that it will be helpful for improving the accuracy of evaluation to combine FAHP with qualitative analysis although it is feasible and reasonable to evaluate by FAHP.
出处
《图书情报工作》
CSSCI
北大核心
2007年第2期83-86,149,共5页
Library and Information Service
基金
嘉兴学院2006年度青年基金项目"图像搜索引擎性能评价研究"(项目编号:70106066)的研究成果之一
