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DOI:
计算机系统应用英文版:2014,23(5):188-191
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文献搜索引擎中特征项及权重的应用
(湖北师范学院 计算机科学与技术学院, 黄石 435000)
Application for Feature and Weight in Search Engine of Literature
(College of Computer Science and Technology, Hubei Normal University, Huangshi 435000, China)
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Received:November 12, 2013    Revised:December 03, 2013
中文摘要: 针对目前用户在使用搜索引擎过程中,检索结果冗余、效率低下等问题,本文在对文献垂直搜索系统中Lucene.Net的索引算法研究基础上,结合用户实际专业检索需求,改变其算法中的激励因子,实验结果证明该方法确能提高搜索结果的相关度.
中文关键词: 垂直搜索  Lucene.Net引擎  索引排序  TF*IDF
Abstract:As the Web continues to grow, it has become increasingly obvious that information overload, low-efficiency using traditional search engines. In this paper, after researching the index sort algorithm applied in the Lucene.Net and considering the requirement from the end-users, we present an approach to address this issue. The experimental results showed that the proposed approach is practical.
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基金项目:湖北师范学院文理学院2012教学研究项目(XJ201219)
引用文本:
李光敏.文献搜索引擎中特征项及权重的应用.计算机系统应用,2014,23(5):188-191
LI Guang-Min.Application for Feature and Weight in Search Engine of Literature.COMPUTER SYSTEMS APPLICATIONS,2014,23(5):188-191