Effectiveness of query expansion in ranked-output document retrieval systems

Author:

Cuna Ekmekcioglu F.1,Robertson Alexander M.1,Willett Peter1

Affiliation:

1. University of Sheffield. UK

Abstract

This paper reports an evaluation of three methods for the expansion of natural language queries in ranked-out put retrieval systems. The methods are based on term co-oc currence data, on Soundex codes, and on a string similarity measure. Searches for 110 queries in a database of 26,280 titles and abstracts suggest that there is no significant differ ence in retrieval effectiveness between any of these methods and unexpanded searches.

Publisher

SAGE Publications

Subject

Library and Information Sciences,Information Systems

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Arabic Query Expansion Using WordNet and Association Rules;Information Retrieval and Management;2018

2. Arabic Query Expansion Using WordNet and Association Rules;International Journal of Intelligent Information Technologies;2016-07

3. Access concentration detection in click logs to improve mobile Web-IR;Information Sciences;2009-05-30

4. Improving Retrieval Performance with the Combination of Thesauri and Automatic Relevance Feedback;Advances in Machine Learning and Cybernetics;2006

5. Automatic crosslingual thesaurus generated from the Hong Kong SAR Police Department Web corpus for crime analysis;Journal of the American Society for Information Science and Technology;2005

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3