| 基于相关性-兴趣度架构的关联规则挖掘的查询扩展 |
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| 引用本文： | 黄名选.基于相关性-兴趣度架构的关联规则挖掘的查询扩展[J].图书情报工作,2011,55(15):110-113. |
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| 作者姓名： | 黄名选 |
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| 作者单位： | 广西教育学院数学与计算机科学系 |
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| 基金项目： | 广西教育厅科研项目“基于加权负关联规则挖掘的文本信息检索技术研究”(项目编号:201010LX679); 广西教育学院2010年度院级重点课题”基于正负关联规则的信息检索技术研究”(项目编号:桂教院科研[2010]7号(重点)-3)的阶段性研究成果之一 |
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| 摘 要： | 针对情报检索系统中存在的词不匹配问题，提出一种基于相关性-兴趣度架构的关联规则挖掘的局部反馈查询扩展算法，并论述查询扩展基本思想、扩展算法模型以及扩展词权值的计算方法。该算法主要特点是采用支持度-置信度-相关性-兴趣度框架衡量关联规则，避免产生负相关的、虚假的和无兴趣的规则，提高来自于关联规则的扩展词的质量。实验结果表明，该算法能有效地改善和提高信息检索性能, 有很高的实际应用价值和推广前景。
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| 关 键 词： | 相关性 兴趣度 查询扩展 关联规则 情报检索 算法 |
| 收稿时间： | 2011-01-04 |
| 修稿时间： | 2011-03-19 |
Query Expansion Based on Association Rules Mining Using Correlation-Interest Measure Framework |
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| Huang Mingxuan.Query Expansion Based on Association Rules Mining Using Correlation-Interest Measure Framework[J].Library and Information Service,2011,55(15):110-113. |
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| Authors: | Huang Mingxuan |
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| Institution: | Department of Math and Computer Science, Guangxi College of Education, |
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| Abstract: | Aiming at the term mismatch issues of existing information retrieval system,a novel query expansion algorithm of local feedback is proposed based on association rules mining under correlation-interest measure framework.Its basic conception and algorithm as well as model are expounded,and a new computing method for weights of expansion terms is also expatiated.The framework of support-confidence-relevance-interest measure is used to judge association rules in the algorithm and negative-related and false as w... |
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| Keywords: | correlation interest measure query expansion association rule information retrieval algorithm |
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