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.
Titolo: | Weighted Word Pairs for query expansion | |
Autori: | ||
Data di pubblicazione: | 2015 | |
Rivista: | ||
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. | |
Handle: | http://hdl.handle.net/11386/4534857 | |
Appare nelle tipologie: | 1.1 Articoli su Rivista |
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132 Colace Pre-Print.pdf | 0306-4573/Ó 2014 Published by Elsevier Ltd. Link editore: http://dx.doi.org/10.1016/j.ipm.2014.07.004 | Documento in Pre-print (manoscritto inviato all'editore, precedente alla peer review) | ![]() | Open Access Visualizza/Apri |
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