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A Study on Using Genetic Niching for Query Optimisation in Document Retrieval

Mohand BoughanemContact Information and Lynda TamineContact Information

(7)  IRIT SIG Université de Toulouse III, 118 Route de Narbonne, 31062 Toulouse, France
(8)  ISYCOM/ GRIMM Université de Toulouse II, 5 Allées A. Machado, 31058 Toulouse Cedex, France
Abstract
This paper presents a new genetic approach for query optimisation in document retrieval. The main contribution of the paper is to show the effectiveness of the genetic niching technique to reach multiple relevant regions of the document space. Moreover, suitable merging procedures have been proposed in order to improve the retrieval evaluation. Experimental results obtained using a TREC sub-collection indicate that the proposed approach is promising for applications.

Keywords  Information retrieval - multiple query evaluation - genetic algorithm - niching


Contact Information Mohand Boughanem
Email: bougha@irit.fr

Contact Information Lynda Tamine
Email: tamine@univ-tlse2.fr
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