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EnglishThe aim of this paper is to propose a novel query expansion method to improve accuracy of text retrieval systems. Our technique makes use of a minimal explicit relevance feedback to expand an initial query with a structured representation called Weighted Word Pairs. Such a structure can be automatically extracted from a set of documents and uses a method for term extraction based on the probabilistic Topic Model. Evaluation has been conducted on TREC-8 repository and the proposed approach has been compared with other baseline query expansion schemes; experiments conrmed that the proposed method obtain a better performance than the baseline.
| Titolo: | Query Expansion through Weighted Word Pairs |
| Autori: | |
| Data di pubblicazione: | 2014 |
| Abstract: | The aim of this paper is to propose a novel query expansion method to improve accuracy of text retrieval systems. Our technique makes use of a minimal explicit relevance feedback to expand an initial query with a structured representation called Weighted Word Pairs. Such a structure can be automatically extracted from a set of documents and uses a method for term extraction based on the probabilistic Topic Model. Evaluation has been conducted on TREC-8 repository and the proposed approach has been compared with other baseline query expansion schemes; experiments conrmed that the proposed method obtain a better performance than the baseline. |
| Handle: | http://hdl.handle.net/11386/4503257 |
| ISBN: | 9781634391450 |
| Appare nelle tipologie: | 4.1.2 Proceedings con ISBN |
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