摘要
提出了一种基于语句的查询扩展方法以及语句向量的融合策略,使得扩展后的查询语句的查询性能优于原始查询语句;基于微软高性能计算平台HPC Server和查询扩展策略,设计实现了一个分布式文本检索系统DQSSQE.实验结果表明,在检索性能方面,所提出的查询扩展策略能够有效的提高查准率,召回率上也有一定的提高;在分布式检索计算性能方面,DQSSQE系统具有较好的计算加速比,随着文本集规模的增加,其计算性能的优越性体现明显.
In this paper, a query expansion method based on sentences and a sentence vectors combination strategy are proposed to improve the query performance. A distributed text retrieval system DQSSQE is designed based on Mi- crosoft HPC Server platform and query expansion strategy. The experiment result shows that the proposed query ex- pansion strategy improves the precision ration greatly, and improves the recall ratio as well. At the same time, DQSSQE system gets a higher computation speedup ratio, and the more large the text set is, the higher performance the system will get, compared to the ordinary text retrieval systems.
出处
《武汉大学学报(理学版)》
CAS
CSCD
北大核心
2012年第3期243-250,共8页
Journal of Wuhan University:Natural Science Edition
基金
国家自然科学基金(61070083
2011-2013)
国家软件工程重点实验室开放基金(2009.1-2010.12)
武汉市科技晨光计划(201150431105)资助项目
关键词
信息检索
查询扩展
高性能计算
分布式
information retrieval
query expansion
high performance computing
distributed systems