Optimizing search engines results using linear programming

  • Authors:
  • Gholam R. Amin;Ali Emrouznejad

  • Affiliations:
  • Department of Computer Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran;Aston Business School, Aston University, Birmingham, United Kingdom

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2011

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Abstract

When a query is passed to multiple search engines, each search engine returns a ranked list of documents. Researchers have demonstrated that combining results, in the form of a ''metasearch engine'', produces a significant improvement in coverage and search effectiveness. This paper proposes a linear programming mathematical model for optimizing the ranked list result of a given group of Web search engines for an issued query. An application with a numerical illustration shows the advantages of the proposed method.