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基于Lucene的自定义检索模型在内容管理系统全文检索中的应用
引用本文:王玮璇. 基于Lucene的自定义检索模型在内容管理系统全文检索中的应用[J]. 机电产品开发与创新, 2014, 0(2): 60-62
作者姓名:王玮璇
作者单位:同济大学;上海亚太神通计算机有限公司;
摘    要:在互联网广泛普及以及数字信息呈爆炸式增长的今天,通过诸如谷歌、百度等知名搜索引擎门户网站查找资料已经成为人们在信息世界中快速准确定位的首选方式.Lucene是apache软件基金会开发的一款开源的、可扩展的、基于Java的全文检索搜索引擎,目前在业界正在被广泛使用.论文以空间向量模型算法为理论基础,为内容管理系统中的全文检索功能定制了基于Similarity模型的相关性评分规则,使最终的查询结果更加合理.

关 键 词:Lucene  搜索引擎  空间向量模型  内容管理系统  全文检索

The Application of Full-text Retrieval in the Content Management System Based on the Custom Retrieval Mode of Lucene
WANG Wei-Xuan. The Application of Full-text Retrieval in the Content Management System Based on the Custom Retrieval Mode of Lucene[J]. Development & Innovation of Machinery & Electrical Products, 2014, 0(2): 60-62
Authors:WANG Wei-Xuan
Affiliation:WANG Wei-Xuan (1.Tongji University, Shanghai 200092, China; 2.Shanghai Asia & Pacific Mitac Computer Co., Ltd., Shanghai 200042, China)
Abstract:Widely available on the Internet and digital information explosion today, such as Google, Baidu and other well-known search engine portal website to find information has become the preferred way of people in the world of information fast and accurate positioning. Lucene is the Apache Software Foundation to develop an open, extensible, Java based full-text retrieval search engine, currently in the industry is widely used. Based on the vector space model algorithm as the theoretical basis, for the full text in content management system retrieval function customization correlation model based on Similarity score rules, so that the final query result more reasonable.
Keywords:lucene  search engine  vector space model  content management system  full-text retrieval
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