Abstract
Query Expansion (QE) refers to the Information Retrieval (IR) technique of adding assumed relevant terms to a query in order to render it more informative, and hence more likely to retrieve relevant documents. A key problem is how to identify the terms to be added, and how to integrate them into the original query. We address this problem by using as expansion terms social tags that are freely available on the Web. We integrate these tags into the query by treating the QE process as a logical inference (initially proposed in [3]) and by considering the addition of tags as an extra deduction to this process. This work extends Nie’s logical inference formalisation of QE to process social tags, and proposes an estimation of tag salience, which is experimentally shown to yield competitive retrieval performance.
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References
Amati, G.: Probabilistic Models for Information Retrieval based on Divergence from Randomness. PhD thesis, University of Glasgow (2003)
Church, K.W., Gale, W.A.: Poisson mixtures. Natural Language Engineering 1(2), 163–190 (1995)
Nie, J.-Y.: Query expansion and query translation as logical inference. JASIST 54(4), 335–346 (2003)
Robertson, S., Walker, S., Beaulieu, M., Gatford, M., Payne, A.: Okapi at TREC-4. In: Harman, D.K. (ed.) NIST Special Publication 500-236: TREC-4, pp. 73–96. Springer, Heidelberg (1995)
Xu, J., Croft, W.B.: Query expansion using local and global document analysis. In: SIGIR, pp. 4–11 (1996)
Zhou, D., Bian, J., Zheng, S., Zha, H., Lee Giles, C.: Exploring social annotations for information retrieval. In: WWW, pp. 715–724 (2008)
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Lioma, C., Blanco, R., Moens, MF. (2009). A Logical Inference Approach to Query Expansion with Social Tags. In: Azzopardi, L., et al. Advances in Information Retrieval Theory. ICTIR 2009. Lecture Notes in Computer Science, vol 5766. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04417-5_39
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DOI: https://doi.org/10.1007/978-3-642-04417-5_39
Publisher Name: Springer, Berlin, Heidelberg
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