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
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