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APPLICATION OF CLOUD MODELS IN DIGITAL LIBRARIES

机译:云模型在数字图书馆中的应用

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摘要

In digital libraries, the traditional retrieval methods cannot efficiently retrieve uncertain concepts, and traditional evaluation methods have disadvantages on algorithm measures.To overcome above disadvantages, this paper proposes two new methods based on cloud models.One is to retrieve efficiently uncertain concepts, which can change the granularity of retrieval information.By this method it remarkably improves the recall and precision of information retrieval.Another is to evaluate efficiently retrieval algorithm, which can reflect not only average performance of an algorithm but also stability and randomiciry.These two methods set up a transform of qualitative concepts and quantity.This kind of transform is carried out through strict mathematic means.Experimental data showed the method is practical.Results of evaluation will be more accurate and approach to the fact better.
机译:在数字图书馆中,传统的检索方法无法有效地检索不确定性概念,而传统的评估方法在算法措施上也有缺点。为克服上述缺点,本文提出了两种基于云模型的新方法,一种是有效地检索不确定性概念,可以有效地检索不确定性概念。改变检索信息的粒度,通过这种方法显着提高了信息检索的查全率和准确性。另一种方法是评估有效的检索算法,它不仅可以反映算法的平均性能,还可以反映稳定性和随机性。这两种方法建立起来这种转换是通过严格的数学方法进行的。实验数据表明该方法是实用的。评估的结果将更加准确,并且可以更好地解决这一问题。

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