根据用户生成的内容为GIR评估创建测试集合

Damien Palacio, C. Derungs, R. Purves
{"title":"根据用户生成的内容为GIR评估创建测试集合","authors":"Damien Palacio, C. Derungs, R. Purves","doi":"10.1145/2533888.2533934","DOIUrl":null,"url":null,"abstract":"Evaluation of the effectiveness of Geographic Information Retrieval (GIR) systems is challenging and time consuming. We describe an approach to such evaluations, where we use user generated content in the form of text and associated metadata to build a large test colletion automatically. We can thus show that the UGC test collection is useful for evaluating and exploring some of the critical aspects of a GIR, for instance by submitting large numbers of queries.","PeriodicalId":167948,"journal":{"name":"Workshop on Geographic Information Retrieval","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Creating test collections from user generated content for GIR evaluation\",\"authors\":\"Damien Palacio, C. Derungs, R. Purves\",\"doi\":\"10.1145/2533888.2533934\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Evaluation of the effectiveness of Geographic Information Retrieval (GIR) systems is challenging and time consuming. We describe an approach to such evaluations, where we use user generated content in the form of text and associated metadata to build a large test colletion automatically. We can thus show that the UGC test collection is useful for evaluating and exploring some of the critical aspects of a GIR, for instance by submitting large numbers of queries.\",\"PeriodicalId\":167948,\"journal\":{\"name\":\"Workshop on Geographic Information Retrieval\",\"volume\":\"101 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Geographic Information Retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2533888.2533934\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Geographic Information Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2533888.2533934","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

地理信息检索(GIR)系统的有效性评估是一项具有挑战性且耗时的工作。我们描述了这样一种评估方法,我们使用文本和相关元数据形式的用户生成内容来自动构建一个大型测试集合。因此,我们可以证明UGC测试集对于评估和探索GIR的一些关键方面是有用的,例如通过提交大量查询。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creating test collections from user generated content for GIR evaluation
Evaluation of the effectiveness of Geographic Information Retrieval (GIR) systems is challenging and time consuming. We describe an approach to such evaluations, where we use user generated content in the form of text and associated metadata to build a large test colletion automatically. We can thus show that the UGC test collection is useful for evaluating and exploring some of the critical aspects of a GIR, for instance by submitting large numbers of queries.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:481959085
Book学术官方微信