Research in concept lattice based automatic document ranking
Research in concept lattice based automatic document ranking
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DOI：
10.1109/icmlc.2005.1527927
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发表时间：
2005-11
期刊：
影响因子：
--
通讯作者：
Tang Jun;Ya-Jin Du;Jie-Feng Shen
中科院分区：
文献类型：
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作者：
Tang Jun;Ya-Jin Du;Jie-Feng Shen
测量文档相关性的相似性研究是信息检索的重要领域。许多研究人员正在使用在形式概念分析（FC A）中定义的概念晶格作为测量文本检索中查询文档相关性的基础，即基于概念的晶格排名（CLR）。但是，正式概念分析的相似性概念用于测量文本检索中相关的文档，仅基于将查询与文档联系起来的最短路径。它不是很好的定义。为了解决这种方法的问题，首先，我们根据概念上的一般性或特异性评估了Hasse图中合理的不同边缘。其次，我们根据概念晶格提供了一个用户配置文件，并提供了用于构建基于概念晶格的用户配置文件的算法。第三，我们通过根据查询，用户配置文件和文档之间的相似性根据查询和用户兴趣基于概念晶格之间的关系来介绍组合CLR方法。我们的实验表明，与传统CLR方法相比，通过我们的组合CLR方法检索到的文档获得了更高的精度度量。
The research on similarity for measuring document relevance is an important field in information retrieval. Many researchers are using concept lattice defined in formal concept analysis (FC A) as a basis for measuring query-document relevance in text retrieval, i.e. concept lattice-based ranking (CLR). However, formal concept analysis's notion of similarity for measuring documents relevance in text retrieval is only based on the shortest path linking the query to the document. It is not well defined. To resolve the problems of this approach, first, we evaluate reasonable different weights of edges in the Hasse diagram based on the conceptual generality or specificity. Second, we present a user profile based on concept lattice, and the algorithm for constructing concept lattice based user profile is provided. Third, we present a combination CLR approach by measuring the similarity among query, user profile and document according to the relation between query and user interest based on concept lattice. Our experiment shows that documents retrieved by our combination CLR approach achieve a higher measure of precision than the traditional CLR approach.