摘要
分析了现有检索式修正方法,结合基于文献和基于本体的检索式修正方法的优势,提出基于引用标注的检索式修正方法。通过文献间的引用关系得到候选标注词集合,研究适用于标注词推荐的加权关联规则挖掘算法,采用改进的加权关联规则挖掘算法为用户推荐标注词,利用推荐标注词修正检索式改进检索结果。
This paper first analyzed the current retrieval modification methods, and then combined the strengths of document-based method and ontology-based method to propose the retrieval modification method based on citation tagging. Through reference relationships analyzing, it obtained candidate tagging words. Then it discussed the weighted association rule mining algorithm and the similarity computation method that suitable for citation tagging. After that, it recommended tagging words to users by the im- proved weighted association rule mining algorithm. At last, it improved the retrieval result by modification the retrieval type through recommendation tagging words.
出处
《情报科学》
CSSCI
北大核心
2014年第9期81-85,共5页
Information Science
基金
重庆市教委人文社科项目(10SKP09)
关键词
引用标注
加权关联规则挖掘
检索式修正
citation tagging
weighted association rule mining
retrieval modification