Cervino Beresi, Ulises; Kim, Yunhyong; Baillie, Mark; Ruthven, Ian and Song, Dawei
(2010).
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| URL: | http://link.springer.com/chapter/10.1007/978-3-642... |
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Abstract
In this article we introduce a visualisation technique for analysing relevance and interaction data. It allows the researcher to quickly detect emerging patterns in both interactions and relevance criteria usage. The concept of ”relevance criteria profile”, which provides a global view of user behaviour in judging the relevance of the retrieved information, is developed. We discuss by example, using data from a live search user study, how these tools support the data analysis.
| Item Type: | Conference Item |
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| Copyright Holders: | 2010 Springer-Verlag |
| ISSN: | 0302-9743 |
| Extra Information: | Advances in Information Retrieval
32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010. Proceedings Editors:Cathal Gurrin, Yulan He, Gabriella Kazai, Udo Kruschwitz, Suzanne Little, Thomas Roelleke, Stefan Rüger, Keith van Rijsbergen Lecture Notes in Computer Science, Volume 5993 2010 ISBN: 978-3-642-12274-3 (Print) ISBN: 978-3-642-12275-0 (Online) PP.569-572 |
| Academic Unit/Department: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Related URLs: | |
| Item ID: | 35164 |
| Depositing User: | Dawei Song |
| Date Deposited: | 07 Nov 2012 11:37 |
| Last Modified: | 08 Aug 2016 18:49 |
| URI: | http://oro.open.ac.uk/id/eprint/35164 |
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