Instability in Search Engine Results: Lessons Learned in the Context of Horizon Scanning Applications

Marco A. Palomino, Tim Taylor, G. McBride, Richard Owen
{"title":"Instability in Search Engine Results: Lessons Learned in the Context of Horizon Scanning Applications","authors":"Marco A. Palomino, Tim Taylor, G. McBride, Richard Owen","doi":"10.1109/DEXA.2013.14","DOIUrl":null,"url":null,"abstract":"Horizon scanning, the systematic search for information to identify potential threats, risks, emerging issues and opportunities, has become an increasingly important part of strategic decision making. Although horizon scanning has its roots in the pre-electronic information era, it has blossomed with the availability of Web-based information. Dedicated analysts responsible for scanning the horizon make frequent use of search engines to retrieve information. Regrettably, the results yielded by popular search engines are often inconsistent and redundant. Thus, post processing heuristics have to be employed to select the most relevant data. This paper focusses on the first steps of this process, and analyses the result counts provided by different search engine interfaces in response to a set of queries meant to gather information about new and emerging trends.","PeriodicalId":428515,"journal":{"name":"2013 24th International Workshop on Database and Expert Systems Applications","volume":"135 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 24th International Workshop on Database and Expert Systems Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEXA.2013.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Horizon scanning, the systematic search for information to identify potential threats, risks, emerging issues and opportunities, has become an increasingly important part of strategic decision making. Although horizon scanning has its roots in the pre-electronic information era, it has blossomed with the availability of Web-based information. Dedicated analysts responsible for scanning the horizon make frequent use of search engines to retrieve information. Regrettably, the results yielded by popular search engines are often inconsistent and redundant. Thus, post processing heuristics have to be employed to select the most relevant data. This paper focusses on the first steps of this process, and analyses the result counts provided by different search engine interfaces in response to a set of queries meant to gather information about new and emerging trends.
搜索引擎结果的不稳定性:地平线扫描应用的经验教训
水平扫描,即系统地搜索信息以识别潜在威胁、风险、新出现的问题和机会,已成为战略决策中日益重要的一部分。虽然水平扫描起源于前电子信息时代,但它随着基于网络的信息的可用性而蓬勃发展。专门负责扫描地平线的分析师经常使用搜索引擎检索信息。遗憾的是,流行搜索引擎给出的结果往往是不一致的和冗余的。因此,必须采用后处理启发式来选择最相关的数据。本文主要关注这一过程的第一步,并分析了不同搜索引擎界面在响应一组旨在收集有关新趋势的信息的查询时提供的结果计数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信