| Titre : | Finding relevant search engines results : a minimax linear programming approach (2011) |
| Auteurs : | G. R. Amin, Auteur ; A. Emrouznejad, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Journal of the operational research society (JORS) (Vol. 61 N° 7, Juillet 2010) |
| Article en page(s) : | pp. 1144–1150 |
| Note générale : | Recherche opérationnelle |
| Langues : | Anglais |
| Index. décimale : | 001.424 |
| Tags : | Linear programming Search engine Metasearch Relevancy index |
| 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 |
