Genetic appraoch to query space exploration

Mohand Boughanem (1, 2) , Claude Chrisment (1) , Lynda Tamine (1, 3, 2)

1 IRIT-SIG - Systèmes d’Informations Généralisées
2 UT3 - Université Toulouse III - Paul Sabatier
3 IRIT-IRIS - Recherche d’Information et Synthèse d’Information

This paper describes a genetic algorithm approach for intelligent information retrieval. The goal is to find an optimal set of documents which best matches the user's needs by exploring and exploiting the document space. More precisely, we define a specific genetic algorithm for information retrieval based on knowledge based operators and guided by a heuristic for relevance multi-modality problem solving. Experiments with TREC-6 French data and queries show the effectiveness of our approach.

Mots clés: information retrieval; genetic algorithm; relevance feedback

Domaines: Recherche d'information [cs.IR]

Mohand Boughanem, Claude Chrisment, Lynda Tamine. Genetic appraoch to query space exploration. Information Retrieval Journal, 1999, 1 (3), pp.175-192. ⟨10.1023/A:1009931404333⟩. ⟨hal-00359535⟩