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Auteur G. R. Amin |
Documents disponibles écrits par cet auteur (1)



Finding relevant search engines results / G. R. Amin in Journal of the operational research society (JORS), Vol. 61 N° 7 (Juillet 2010)
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Titre : Finding relevant search engines results : a minimax linear programming approach Type de document : texte imprimé Auteurs : G. R. Amin, Auteur ; A. Emrouznejad, Auteur Année de publication : 2011 Article en page(s) : pp. 1144–1150 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Linear programming Search engine Metasearch Relevancy index Index. décimale : 001.424 Résumé : 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. DEWEY : 001.424 ISSN : 0361-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n7/abs/jors200953a.html
in Journal of the operational research society (JORS) > Vol. 61 N° 7 (Juillet 2010) . - pp. 1144–1150[article] Finding relevant search engines results : a minimax linear programming approach [texte imprimé] / G. R. Amin, Auteur ; A. Emrouznejad, Auteur . - 2011 . - pp. 1144–1150.
Recherche opérationnelle
Langues : Anglais (eng)
in Journal of the operational research society (JORS) > Vol. 61 N° 7 (Juillet 2010) . - pp. 1144–1150
Mots-clés : Linear programming Search engine Metasearch Relevancy index Index. décimale : 001.424 Résumé : 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. DEWEY : 001.424 ISSN : 0361-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n7/abs/jors200953a.html Exemplaires
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