This paper proposes a novel query expansion method to improve accuracy of text retrieval systems. Our method makes use of a minimal relevance feedback to expand the initial query with a structured representation composed of weighted pairs of words. Such a structure is obtained from the relevance feedback through a method for pairs of words selection based on the Probabilistic Topic Model. We compared our method with other baseline query expansion schemes and methods. Evaluations performed on TREC-8 demonstrated the effectiveness of the proposed method with respect to the baseline.

Weighted Word Pairs for query expansion

COLACE, Francesco;DE SANTO, Massimo;GRECO, LUCA;
2015

Abstract

This paper proposes a novel query expansion method to improve accuracy of text retrieval systems. Our method makes use of a minimal relevance feedback to expand the initial query with a structured representation composed of weighted pairs of words. Such a structure is obtained from the relevance feedback through a method for pairs of words selection based on the Probabilistic Topic Model. We compared our method with other baseline query expansion schemes and methods. Evaluations performed on TREC-8 demonstrated the effectiveness of the proposed method with respect to the baseline.
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Descrizione: 0306-4573/Ó 2014 Published by Elsevier Ltd. Link editore: http://dx.doi.org/10.1016/j.ipm.2014.07.004
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4534857
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