Characterising Dataset Search Queries
Author:
Affiliation:
1. University of Southampton & The Open Data Institute, London, United Kingdom
2. The Open Data Institute, London, United Kingdom
3. University of Southampton, Southampton, United Kingdom
Funder
European Union Horizon 2020 program under the Marie Skodowska-Curie grant agreement
Publisher
ACM Press
Reference19 articles.
1. Qingyao Ai, Susan T. Dumais, Nick Craswell, and Daniel J. Liebling. 2017. Characterizing Email Search using Large-scale Behavioral Logs and Surveys. In Proceedings of the 26th International Conference on World Wide Web, WWW. 1511--1520. https://doi.org/10.1145/3038912.3052615
2. Michael Bendersky and W. Bruce Croft. 2009. Analysis of Long Queries in a Large Scale Search Log. In Proceedings of the 2009 Workshop on Web Search Click Data. ACM, 8--14. https://doi.org/10.1145/1507509.1507511
3. Andrei Broder. 2002. A Taxonomy of Web Search. SIGIR Forum 36, 2 (2002), 3--10. https://doi.org/10.1145/792550.792552
4. Michael J. Cafarella, Alon Halevy, and Jayant Madhavan. 2011. Structured Data on the Web. Commun. ACM 54, 2 (2011), 72--79. https://doi.org/10.1145/1897816. 1897839
5. Qingqing Gan, Josh Attenberg, Alexander Markowetz, and Torsten Suel. 2008. Analysis of Geographic Queries in a Search Engine Log. In Proceedings of the First International Workshop on Location and the Web. ACM, 49--56. https://doi. org/10.1145/1367798.1367806
Cited by 13 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. ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10
2. Retrievability in an integrated retrieval system: an extended study;International Journal on Digital Libraries;2023-04-28
3. A Taxonomy of Dataset Search;Advances on Intelligent Computing and Data Science;2023
4. ACORDAR;Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval;2022-07-06
5. Studying retrievability of publications and datasets in an integrated retrieval system;Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries;2022-06-20
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