Finding relevant search engine results:a minimax linear programming approach

Amin, G.R. and Emrouznejad, A. Finding relevant search engine results:a minimax linear programming approach. Journal of the Operational Research Society, 61 (7), pp. 1144-1150.

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.

Publication DOI: https://doi.org/10.1057/jors.2009.53
Divisions: Aston Business School > Operations & information management
Uncontrolled Keywords: linear programming,search engine,metasearch,relevancy index,Management Information Systems,Marketing,Strategy and Management,Management Science and Operations Research

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