Automatic Control Of Multiple Pseudo- Relevance Feedback Pass

Résumé: Automatic query expansion (AQE) based on Pseudo Relevance Feedback (PRF) is a useful technique for enhancing the effectiveness of information retrieval systems. In this article, we propose the study of the behavior of a set of features based on the query and the set of feedback documents in the aim to control automatically the convergence of the query expansion process to the pertinent set of documents. It is a new look for which is commonly known in IR community as prediction of query performance or query ambiguity. The results obtained show that is very interesting to use these features as good predictors for any PRF methods. Index Terms— Information retrieval, Automatic query expansion, pseudo-relevance feedback, query performance.

Publié dans la revue: Models & Optimisation and Mathematical Analysis Journal