Abstract
Collaborative search refers to how the search behavior of communities of users can be used to influence the ranking of search results. In this poster we describe how this technique, as instantiated in the I-SPY meta-search engine can be used as a general mechanism for implementing a different relevance feedback strategy. We evaluate a relevance feedback strategy based on anchor-text and query similarity using the TREC2004 Terabyte track document collection.
This material is based on works supported by ScienceFoundation Ireland under Grant No. 03/IN.3/I361.
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References
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Boydell, O., Gurrin, C., Smeaton, A.F., Smyth, B. (2005). Manipulating the Relevance Models of Existing Search Engines. In: Losada, D.E., Fernández-Luna, J.M. (eds) Advances in Information Retrieval. ECIR 2005. Lecture Notes in Computer Science, vol 3408. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31865-1_44
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DOI: https://doi.org/10.1007/978-3-540-31865-1_44
Publisher Name: Springer, Berlin, Heidelberg
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