RSS 1.0 Feed
RSS 2.0 Feed
Atom Feed
 

A Longitudinal Study of Exploratory and Keyword Search

Wilson, M. L. and schraefel, m. c. (2008) A Longitudinal Study of Exploratory and Keyword Search. In: ACM/IEEE-CS Joint Conference on Digital Libaries, June 16-20, 2008, Pittsburgh, PA, USA. pp. 52-56.

Download

[img]
Preview
PDF
400Kb

Abstract

Digital libraries are concerned with improving the access to collections to make their service more effective and valuable to users. In this paper, we present the results of a four-week longitudinal study investigating the use of both exploratory and keyword forms of search within an online video archive, where both forms of search were available concurrently in a single user interface. While we expected early use to be more exploratory and subsequent use to be directed, over the whole period there was a balance of exploratory and keyword searches and they were often used together. Further, to support the notion that facets support exploration, there were more than five times as many facet clicks than more complex forms of keyword search (boolean and advanced). From these results, we can conclude that there is real value in investing in exploratory search support, which was shown to be both popular and useful for extended use of the system.

Creators:Max L. Wilson, m.c. schraefel
Item Type:Conference or Workshop Item
Research Group:Intelligence, Agents, Multimedia
Deposited On:04 Feb 2008 22:38 by Wilson, Max
ID Code:15145
Last Modified:18 Feb 2010 15:55
Performance Indicator:EZ~02~02~04
Citations:

Tools

Metadata

Download Statistics

Last month

Last year

Members of ECS may view the download statistics dashboard for this record.

References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in this archive you will be forwarded to the paracite service. Poorly formated references will probably not work.

1. Capra, R., Marchionini, G., Oh, J.S., Stutzman, F. and Zhang, Y. Effects of structure and interaction style on distinct search tasks. Proceedings of the 2007 conference on Digital libraries. 442-451.

2. Croft, W.B., Turtle, H.R. and Lewis, D.D. The use of phrases and structured queries in information retrieval. Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval. 32-45.

3. Hearst, M.A. Clustering versus faceted categories for information exploration. Commun. ACM, 49 (4). 59-61.

4. Ruthven, I. Re-examining the potential effectiveness of interactive query expansion. Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval. 213-220.

5. schraefel, m.c., Wilson, M.L. and Karam, M. Preview Cues: Enhancing Access to Multimedia Content, School of Electronics and Computer Science, University of Southampton, 2004.

6. schraefel, m.c., Wilson, M.L., Russell, A. and Smith, D.A. mSpace: improving information access to multimedia domains with multimodal exploratory search. Communications of the ACM, 49 (4). 47-49.

7. Smith, D.A., Owens, A., schraefel, m.c., Sinclair, P., André, P., Wilson, M.L., Russell, A., Martinez, K. and Lewis, P., Challenges in Supporting Faceted Semantic Browsing of Multimedia Collections. The Second International Conference on Semantic and Digital Media Technologies (SAMT2007), (Genova, Italy, 2007).

8. Wildemuth, B.M., Marchionini, G., Yang, M., Geisler, G., Wilkens, T., Hughes, A. and Gruss, R. How fast is too fast?: evaluating fast forward surrogates for digital video. Proceedings of the third ACM/IEEE-CS joint conference on Digital libraries. 221-230.

9. Wilson, M.L., André, P., Smith, D.A. and schraefel, m.c. Spatial Consistency and Contextual Cues for Incidental Learning in Browser Design, School of Electronics and Computer Science, University of Southampton, 2007.

10. Wilson, M.L., schraefel, m.c. and White, R.W. Evaluating Advanced Search Interfaces using Established Information-Seeking Models. JASIST.

11. Zamir, O., Etzioni, O., Madani, O. and Karp, R.M. Fast and intuitive clustering of web documents. Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining. 287–290.

Corrections

ECS staff and postgraduates may modify this record

  Welcome from Deputy Head of School (Research) Research Prospectus Industrial Partnerships New Research Students Notes for Guidance New Research Students Notes for Guidance
The ECS EPrints Repository supports OAI 2.0 with a base URL of http://eprints.ecs.soton.ac.uk/cgi/oai2

EPrints is free software developed by the University of Southampton to facilitate Open Access to research.
EPrints