Applying Heuristics to Improve A Genetic Query Optimisation Process in Information Retrieval

Lynda Tamine (1) , Mohand Boughanem (1, 2)

1 IRIT-SIG - Systèmes d’Informations Généralisées
2 UT3 - Université Toulouse III - Paul Sabatier

This work presents a genetic approach for query optimisation in information retrieval. The proposed GA is improved y heuristics in order to solve the relevance multimodality problem and adapt the genetic exploration process to the information retrieval task. Experiments with AP documents and queries issued from TREC show the effectiveness of our GA model

Domaines: Recherche d'information [cs.IR]

Lynda Tamine, Mohand Boughanem. Applying Heuristics to Improve A Genetic Query Optimisation Process in Information Retrieval. European Colloquium on Information Retrieval (ECIR 2001), Information Retrieval Specialist Group of the British Computer Society (BCS-IRSG), 2001, Darmstad, Germany. pp.15--23. ⟨hal-00359563⟩