Abstract
Collaborative Web search is a form of meta-search that manipulates the results of underlying Web search engines in response to the learned preferences of a given community of users. Results that have previously been selected in response to similar queries by community members are promoted in the returned results. However, promotion is limited to these previously-selected results and in this paper we describe and evaluate how relevant results without a selection history can also be promoted by exploiting snippet-text and title similarities.
This material is based on works supported by Science Foundation Ireland under Grant No. 03/IN.3/I361.
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© 2006 Springer-Verlag Berlin Heidelberg
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Boydell, O., Smyth, B. (2006). Title and Snippet Based Result Re-ranking in Collaborative Web Search. In: Lalmas, M., MacFarlane, A., Rüger, S., Tombros, A., Tsikrika, T., Yavlinsky, A. (eds) Advances in Information Retrieval. ECIR 2006. Lecture Notes in Computer Science, vol 3936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11735106_47
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DOI: https://doi.org/10.1007/11735106_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33347-0
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