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EnglishThis 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 |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| 132 Colace Definitivo.pdf | Versione editoriale (versione pubblicata con il layout dell'editore) | NON PUBBLICO - Accesso privato/ristretto | Administrator Richiedi una copia | |
| 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 |
http://hdl.handle.net/11386/4534857
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