Weighted Word Pairs for query expansion |
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Authors: | Francesco Colace Massimo De Santo Luca Greco Paolo Napoletano |
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Affiliation: | 1. DIEM, University of Salerno, Fisciano, Italy;2. DISCo, University of Milano-Bicocca, Italy |
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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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Keywords: | Text retrieval Query expansion Explicit relevance feedback Pseudo-relevance feedback Probabilistic Topic Model |
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