Abstract
Collaborative search is an approach to Web search that is designed to deal with the type of vague queries that are commonplace on the Web. It leverages the search behaviour of communities of like-minded users to re-rank results in a way that reflects community preferences. This paper builds on our previous work which described the core technology and offered preliminary evaluation results. In this paper we describe the deployment of collaborative search technology as the I-SPY search engine and elaborate on these deployment experiences, focusing in particular on more comprehensive evaluation results that demonstrate the value of collaborative search in live-user trials.
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Preyne, J., Smyth, B. (2005). Collaborative Search: Deployment Experiences. In: Macintosh, A., Ellis, R., Allen, T. (eds) Applications and Innovations in Intelligent Systems XII. SGAI 2004. Springer, London. https://doi.org/10.1007/1-84628-103-2_9
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DOI: https://doi.org/10.1007/1-84628-103-2_9
Publisher Name: Springer, London
Print ISBN: 978-1-85233-908-1
Online ISBN: 978-1-84628-103-7
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