Genetic Approach to Query Space Exploration

  • Authors:
  • M. Boughanem;C. Chrisment;L. Tamine

  • Affiliations:
  • IRIT SIG Université Toulouse III, 118, Route de Narbonne, 31062 Toulouse, France. bougha@irit.fr;IRIT SIG Université Toulouse III, 118, Route de Narbonne, 31062 Toulouse, France. chrisme@irit.fr;IRIT SIG Université Toulouse III, 118, Route de Narbonne, 31062 Toulouse, France

  • Venue:
  • Information Retrieval
  • Year:
  • 1999

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Abstract

This paper describes a genetic algorithm approach forintelligent information retrieval. The goal is to find an optimal setof documents which best matches the user‘s needs by exploring andexploiting the document space. More precisely, we define a specificgenetic algorithm for information retrieval based on knowledge basedoperators and guided by a heuristic for relevance multi-modalityproblem solving. Experiments with TREC-6 French data and queriesshow the effectiveness of our approach.