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User’s Relevance of PIR System Based on Cloud Models 被引量:1
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作者 康海燕 樊孝忠 《Journal of Beijing Institute of Technology》 EI CAS 2006年第2期181-185,共5页
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 f... 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. 展开更多
关键词 personalized information retrieval (PIR) cloud model user's relevance fuzzy evaluation
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