User’s Relevance of PIR System Based on Cloud Models |
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作者姓名: | 康海燕 樊孝忠 |
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作者单位: | [1]School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China [2]Department of Computer Information System, Beijing Information Science and Technology University, Beijing 100085, China |
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摘 要: | A new method to evaluate fuzzily user's relevance on the basis of cloud models has been proposed. All factors of personalized information retrieval system are taken into account in this method. So using this method for personalized information retrieval (PIR) system can efficiently judge multi-value relevance, such as quite relevant, comparatively relevant, commonly relevant, basically relevant and completely non-relevant, and realize a kind of transform of qualitative concepts and quantity and improve accuracy of relevance judgements in PIR system. Experimental data showed that the method is practical and valid. Evaluation results are more accurate and approach to the fact better.
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关 键 词: | PIR 人格信息检索 云模型 模糊评估 |
文章编号: | 1004-0579(2006)02-0181-05 |
收稿时间: | 2004-08-26 |
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