基于主题的查询扩展

Bing Zhang, Yajun Du, Haiming Li, YuTing Wang
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引用次数: 12

摘要

查询扩展技术和形式概念分析(FCA)是信息检索领域提高查询精度的两种有效方法。本文采用以概念建模为目的的形式概念分析对用户查询进行扩展,提出了一种新的查询扩展方法。我们使用TREC作为上下文并构建概念格。然后从这些概念格中提取展开源。为了提取用户感兴趣的主题,将扩展源的项与ODP目录树的节点进行匹配。然后将相关主题展开为查询项作为展开结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Query Expansion Based on Topics
Query expansion technology and formal concept analysis (FCA) are two effective methods for improving the query precision in the information retrieval field. In this paper, formal concept analysis which aims at modeling concepts is adopted to expand the user query and a new query expansion approach is proposed. We use the TREC as the contexts and build concept lattices. Then the expansion source is extracted from these concept lattices. For extracting the user interest topics, the terms of the expansion source are matched with the nodes of the ODP directory tree. And then the relevance topics are expanded to the query terms as the expansion results.
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