| 基于FAHP的图像搜索引擎性能评价 |
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| 引用本文： | 董文鸳,姚晓锋.基于FAHP的图像搜索引擎性能评价[J].图书情报工作,2007,51(2):83-86. |
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| 作者姓名： | 董文鸳 姚晓锋 |
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| 作者单位： | 嘉兴学院图书馆 嘉兴学院图书馆 |
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| 基金项目： | 嘉兴学院校科研和教改项目 |
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| 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。
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| 关 键 词： | 图像检索 图像搜索引擎 性能评价 模糊层次分析法 |
| 收稿时间： | 2006-06-26 |
| 修稿时间： | 2006-06-222006-08-26 |
Performance Evaluation of Image Search Engines Based on FAHP |
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| Dong Wenyuan,Yao Xiaofeng.Performance Evaluation of Image Search Engines Based on FAHP[J].Library and Information Service,2007,51(2):83-86. |
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| Authors: | Dong Wenyuan Yao Xiaofeng |
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| Institution: | Library of Jiaxing College, Jiaxing 314001 |
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| Abstract: | 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. |
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| Keywords: | image search image search engine performance evaluation FAHP |
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