The Open UniversitySkip to content

Reuse of search experience for resource transformation

Milne, Peter; Wiratunga, Nirmalie; Lothian, Robert and Song, Dawei (2009). Reuse of search experience for resource transformation. In: Workshop on Reasoning from Experiences on the Web (WebCBR'2009), 21 July 2009, Seattle, WA, USA.

Full text available as:
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (284kB) | Preview
Google Scholar: Look up in Google Scholar


The advent of Web 2.0 has created a proliferation of resource sharing sites where individual users tag resources. Retrieval performance is good when users share the same vocabulary, but deteriorates when users have diverging vocabularies. In this paper we propose a novel method of reusing search experience to transform the underlying representation of tagged resources. The aim is to favour those tags that best correspond to community consensus. A CBR approach is presented to learn from user search histories, modifying resource tags in response to implicit user feedback. We evaluate this method on a prototype image retrieval system IFETCH. Our evaluation shows that resource transformation progressively increases the ranking of those images that are generally deemed relevant by similar search sessions. Our results also confirm that the casebase weight update mechanism is more robust to erroneous user feedback compared to a naive constant weight update strategy.

Item Type: Conference or Workshop Item
Copyright Holders: 2009 Authors
Extra Information: Workshop at the 8th International Conference on Case Based Reasoning

Lorraine McGinty, David C. Wilson (Eds.): Case-based Reasoning Research and Development, 8th International Conference on Case-Based Reasoning ICCBR 2009, Seattle, WA, USA, July 20-23, 2009 Proceedings. Lecture Notes in Computer Science, Vol. 5650 (Subseries: Lecture Notes in Artificial Intelligence) Springer 2009, ISBN 978-3-642-02997-
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Related URLs:
Item ID: 35283
Depositing User: Mary Mcmahon
Date Deposited: 13 Nov 2012 11:45
Last Modified: 13 Feb 2018 07:25
Share this page:

Download history for this item

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.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU