摘要
针对现有信息检索系统中存在的词不匹配问题,提出一种基于词间关联规则的查询扩展算法,该算法利用现有挖掘算法自动对前列初检文档进行词间关联挖掘,提取含有原查询词的词间关联规则,从中提取扩展词,实现查询扩展。实验结果表明,该算法能改善和提高信息检索系统性能,具有很高的应用价值。
Aiming at the problem of no-malehing of word,a novel query expansion algorithm is proposed based on association rules between terms. The algorithm can automatically mine those association rules related to original query in the top-ranked retrieved documents using the existing mining algorithm, and can construct an association rules-based database, extract expansion terms related to original query from the database for query expansion. Experimental results show that this algorithm is much better than traditional ones in average precision.
出处
《图书情报工作》
CSSCI
北大核心
2008年第3期132-134,103,共4页
Library and Information Service
关键词
查询扩展
关联规则
局部反馈
信息检索
query expansion association rule local feedback information retrieval