Abstract
In this article we describe a method for refining an initial set of search results, obtained through a meta-search engine, based on relevance feedback. The idea is to interactively obtain from the user a subset of relevant documents in an ongoing query, thereby providing a sample of the related vocabulary. Terms acquired in this way are combined with the terms initially in the query, in order to improve retrieval precision. In our method the user is also asked to select a subset of irrelevant documents, so that terms may be combined negatively in the query. A model of compatible architectures, in which the method can be implemented, is presented. An instance of such model, the system Web Query Reformulator (WQR), is described, with some of its performance results.
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References
Gerard Salton and C. Buckley Improving Retrieval Performance by Relevance Feedback. Journal of the American Society for Information Science, 41(4):288–297. 1990.
Oren Etzionie Erik Selberg Multi-Service Search and Comparison using the MetaCrawler. Proceedings of the 1995 WORLD WIDE WEB Conference. 1995.
Alan F. Smeatone Francis Crimmins Relevance Feedback and Query Expansion for Searching the Web: A Model for Searching a Digital Library. Research and Advanced Technology for Digital Libraries, ECDL’97. 1997.
Susan Gauch, Guijun Wange Mario Gomez Profusion: Intelligent Fusion from Multiple, Distributed Search Engines. Journal of Universal Computer Science. 1997.
Adele E. Howee Daniel Dreilinger SavvySearch: A Meta-Search Engine that Learns which Search Engines to Query. AI Magazine, 18(2). 1997.
Efthimis N. Efthimiadis User Choices: A New Yardstick for the Evaluation of Ranking Algorithms for Interactive Query Expansion. Information Processing & Management, 31(4):605–620. 1995.
Alan F Smeatone Fergus Kelledy User-Chosen Phrases in Interative Query Formulation for Information Retrieval. Proceedings of the 20th BCS-IRSG Colloquium. 1998
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© 1999 Springer-Verlag Berlin Heidelberg
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Oliveira, C., Gustavo, L., Resende, V., Lehmann, R. (1999). Interactive Query Expansion in a Meta-search Engine. In: Pinter, R.Y., Tsur, S. (eds) Next Generation Information Technologies and Systems. NGITS 1999. Lecture Notes in Computer Science, vol 1649. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48521-X_5
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DOI: https://doi.org/10.1007/3-540-48521-X_5
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