| 基于PageRank值的文本相似度改进模型 |
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| 引用本文： | 熊才权,田浩.基于PageRank值的文本相似度改进模型[J].网络安全技术与应用,2010(6):55-57. |
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| 作者姓名： | 熊才权 田浩 |
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| 作者单位： | 湖北工业大学计算机学院,湖北,430068 |
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| 基金项目： | 湖北省自然科学基金项目(编号:2007ABA025)资助 |
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| 摘 要： | 相似度计算的质量对于搜索引擎的速度和准确率有着很大的影响。本文提出了基于PageRank值的文本相似度改进模型（BPVSM）,以PageRank值对文本分类,在计算文本相似度时考虑不同类别的信息差异。对1370条信息进行检索,用改进后的模型对检索结果进行重排序。实验表明,改进后的模型可以提高检索的准确率。
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| 关 键 词： | 搜索引擎 PageRank 向量空间模型 TF/IDF |
A improved text similarity model based on PageRank value |
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| Xiong Caiquan,Tian Hao.A improved text similarity model based on PageRank value[J].Net Security Technologies and Application,2010(6):55-57. |
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| Authors: | Xiong Caiquan Tian Hao |
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| Affiliation: | Xiong Caiquan,Tian Hao Hubei University of Technology,Hubei,430068,China |
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| Abstract: | The quality of text similarity has a great impact on the speed and accuracy of search engine.This paper proposes an improved similarity model of text vector space,in which the text classification is based on PageRank value,taking into account of the differences among different classification of information when calculate the similarity of vectors.This model is used to retrieve and rank the 1370 informations,the results show that the improved model can improve the accuracy of retrieval. |
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| Keywords: | Search engine PageRank Vector Space Model(VSM) TF/ID |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
