Finding relevant search engines results: a minimax linear programming approach
G R Amin and
A Emrouznejad
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G R Amin: Islamic Azad University of South Tehran Branch
A Emrouznejad: Aston University
Journal of the Operational Research Society, 2010, vol. 61, issue 7, 1144-1150
Abstract:
Abstract For a submitted query to multiple search engines finding relevant results is an important task. This paper formulates the problem of aggregation and ranking of multiple search engines results in the form of a minimax linear programming model. Besides the novel application, this study detects the most relevant information among a return set of ranked lists of documents retrieved by distinct search engines. Furthermore, two numerical examples aree used to illustrate the usefulness of the proposed approach.
Keywords: linear programming; search engine; metasearch; relevancy index (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:pal:jorsoc:v:61:y:2010:i:7:d:10.1057_jors.2009.53
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DOI: 10.1057/jors.2009.53
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