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Received:January 10, 2012 Revised:February 29, 2012
Received:January 10, 2012 Revised:February 29, 2012
中文摘要: 随着信息量的急剧增加, 检索技术显得尤为关键. 目前很多检索技术都是基于索引的检索技术. 文中借助了Lucene的索引技术与检索机制, 通过对索引信息的改进以及使用基于内容的改进方法, 对Lucene结果与查询语句在向量空间中重新计算相似度, 实现了对长段查询语句检索结果排序位置的提高.
Abstract:With the rapid increase of information, retrieval technology is becoming more and more important. At present, many retrieval techniques are based on index retrieval techniques. This paper studies the search and index technology of lucene and recalculated the similarity of Lucene result and query in the Vector Space Model to improve the sort location of long query search result through the improved index information and the improved method based on content.
keywords: vector space model lucene index similarity
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引用文本:
王婧,王新房.基于内容的中文文本检索方法.计算机系统应用,2012,21(9):214-216
WANG Jing,WANG Xin-Fang.Chinese Text Retrieval Method Based on Content.COMPUTER SYSTEMS APPLICATIONS,2012,21(9):214-216
王婧,王新房.基于内容的中文文本检索方法.计算机系统应用,2012,21(9):214-216
WANG Jing,WANG Xin-Fang.Chinese Text Retrieval Method Based on Content.COMPUTER SYSTEMS APPLICATIONS,2012,21(9):214-216