[1]李泽军 曾利军 刘文华.基于相关性和语义相似度融合的查询扩展方法[J].计算机技术与发展,2010,(09):66-68.
 LI Ze-jun,ZENG Li-jun,LIU Wen-hua.Query Expansion Method Based on Relativity and Similarity Inosculate[J].,2010,(09):66-68.
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基于相关性和语义相似度融合的查询扩展方法()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2010年09期
页码:
66-68
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Query Expansion Method Based on Relativity and Similarity Inosculate
文章编号:
1673-629X(2010)09-0066-03
作者:
李泽军 曾利军 刘文华
湖南工学院计算机科学系
Author(s):
LI Ze-junZENG Li-junLIU Wen-hua
Dept.of Computer Sci.,Hunan Institute of Technology
关键词:
查询扩展相关性相似度检索性能
Keywords:
query expansion correlation similarity retrieval performance
分类号:
TP391
文献标志码:
A
摘要:
针对局部共现查询扩展算法查准率不高、性能差的缺点,提出了一种基于相关性和语义相似度的查询扩展算法RSIQE(relativity and similarity inosculate query expansion)。该方法首先用局部共现查询扩展算法扩展出n个相关扩展词,继而利用知网资源计算查询的相似度和扩展词的相关性,在此基础上融合扩展的相关度来得到N个扩展词的排序,通过对扩展词序列赋权来重新计算新查询中各词的权重,由新查询词赋权迭代得到检索结果。实验表明,该扩展方法比传统局部共现查询扩展算法不仅具有更优
Abstract:
As the local co-occurrence of query expansion algorithm precision rate is not high,also with shortcoming of poor performance,a new algorithm based on correlation and semantic similarity is proposed as query expansion algorithm RSIQE.The method firstly used in local co-occurrence of query expansion algorithms to extend the relevant extensions out of K words,then use computer to calculate the terms of similarity between N extended words and query,and then in integration of relevance and similarity of the word to give an extension of the final order,extend this sequence of empowering a method of calculating the various terms in the query weight,and enter the retrieval system to get the search results.Experiments show that this expansion algorithm has better retrieval performance and also improved accuracy than the traditional method of query expansion algorithm

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备注/Memo

备注/Memo:
湖南省教育科学研究基金项目(08C248 09C297)李泽军(1972-),男,湖南常宁人,讲师,硕士研究生,研究方向为数据挖掘、文本检索、模式识别
更新日期/Last Update: 1900-01-01