Cervino Beresi, Ulises; Kim, Yunhyong; Baillie, Mark; Ruthven, Ian and Song, Dawei
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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|
|Copyright Holders:||2010 Springer-Verlag|
|Extra Information:||Advances in Information Retrieval
32nd European Conference on IR Research, ECIR 2010,
Milton Keynes, UK, March 28-31, 2010.
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)
|Academic Unit/School:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Dawei Song|
|Date Deposited:||07 Nov 2012 11:37|
|Last Modified:||30 Nov 2016 03:05|
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These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.