| 基于检索结果聚类的XML伪相关文档查找 |
| |
| 引用本文： | 钟敏娟,万常选,刘德喜,廖述梅. 基于检索结果聚类的XML伪相关文档查找[J]. 计算机科学, 2013, 40(10): 172-177 |
| |
| 作者姓名： | 钟敏娟 万常选 刘德喜 廖述梅 |
| |
| 作者单位： | 江西财经大学信息管理学院 南昌 330013;江西财经大学数据与知识工程江西省高校重点实验室 南昌 330013 |
| |
| 基金项目： | 本文受国家自然基金项目(61173146,61262035,1),国家社会科学基金(12CTQ042)资助 |
| |
| 摘 要： | 传统伪相关反馈容易产生“查询主题漂移”,有效避免“查询主题漂移”的首要前提是确定高质量的相关文档,形成与用户查询需求相关的伪相关文档集合.在检索结果聚类的基础上,研究了XML伪相关文档查找方法,在充分考虑XML内容和结构特征的前提下,提出了基于均衡化权值的簇标签提取方法,并以此为基础,提出了候选簇的排序模型和基于候选簇的文档排序模型.相关实验数据表明,与初始检索结果相比,排序模型获得了较好的性能,有效地查找到了更多的XML伪相关文档.
|
| 关 键 词： | 信息检索 XML伪相关反馈 XML检索结果聚类 簇标签 排序模型 |
| 收稿时间： | 2012-12-12 |
| 修稿时间： | 2013-03-19 |
Finding XML Pseudo-relevance Document Based on Search Results Clustering |
| |
| ZHONG Min-juan,WAN Chang-xuan,LIU De-xi and LIAO Shu-mei. Finding XML Pseudo-relevance Document Based on Search Results Clustering[J]. Computer Science, 2013, 40(10): 172-177 |
| |
| Authors: | ZHONG Min-juan WAN Chang-xuan LIU De-xi LIAO Shu-mei |
| |
| Affiliation: | School of Information Technology,Jiangxi University of Finance and Economics,Nanchang 330013,ChinaJiangxi Key Laboratory of Data and Knowledge Engineering,Jiangxi University of Finance and Economics,Nanchang 330013,China;School of Information Technology,Jiangxi University of Finance and Economics,Nanchang 330013,ChinaJiangxi Key Laboratory of Data and Knowledge Engineering,Jiangxi University of Finance and Economics,Nanchang 330013,China;School of Information Technology,Jiangxi University of Finance and Economics,Nanchang 330013,ChinaJiangxi Key Laboratory of Data and Knowledge Engineering,Jiangxi University of Finance and Economics,Nanchang 330013,China;School of Information Technology,Jiangxi University of Finance and Economics,Nanchang 330013,ChinaJiangxi Key Laboratory of Data and Knowledge Engineering,Jiangxi University of Finance and Economics,Nanchang 330013,China |
| |
| Abstract: | |
| |
| Keywords: | Information retrieval XML pseudo-relevance feedback XML search results clustering Cluster label Ran-king model |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《计算机科学》浏览原始摘要信息 |
|
点击此处可从《计算机科学》下载全文 |
|
