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检索词上下文相关提问扩展算法
引用本文:马巍,孔繁胜,阎薇.检索词上下文相关提问扩展算法[J].大连铁道学院学报,2004,25(4):63-67.
作者姓名:马巍  孔繁胜  阎薇
作者单位:[1]大连交通大学图书馆,辽宁大连116028 [2]大连交通大学管理学院,辽宁大连116028
摘    要:研究了利用相关词进行提问扩展的算法.该算法建立在检索词模糊聚类的基础上,聚类以检索词在文献中共同出现为标准.与提问中检索词相关的群集形成提问的上下文.群集中属于上下文的检索词可用于提问的扩展.实验表明该算法提高了检准率.

关 键 词:检索词  提问  检准率  扩展  文献  基础  实验  上下文  算法  群集

Context-Sensitive Query Expansion Algorithm Based on Fuzzy Clustering of Index Terms
MA Wei,Kong Fansheng,Yan Wei.Context-Sensitive Query Expansion Algorithm Based on Fuzzy Clustering of Index Terms[J].Journal of Dalian Railway Institute,2004,25(4):63-67.
Authors:MA Wei  Kong Fansheng  Yan Wei
Institution:MA Wei~1,Kong Fansheng,~1Yan Wei~2
Abstract:Based on a fuzzy clustering of index terms, a method for expanding the query with associated terms is introduced. using common occurrence in documents as clustering criterion. The clusters are relevant to the query terms form the query context, and the cluster terms belonging to the context are used to expand the query. Thus, the precision of the searching result is improve.
Keywords:information retrieval system  query expansion  fuzzy clustering  
本文献已被 CNKI 维普 等数据库收录!
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