Abstract
Estimating query performance is the task of predicting the quality of results returned by a search engine in response to a query. In this paper, we focus on pre-retrieval prediction methods for the medical domain. We propose a novel predictor that exploits a thesaurus to ascertain how difficult queries are. In our experiments, we show that our predictor outperforms the state-of-the-art methods that do not use a thesaurus.
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References
Boudin, F., Nie, J.-Y., Dawes, M.: Positional Language Models for Clinical Information Retrieval. In: Proceedings of the EMNLP Conference (2010)
Carmel, D., Yom-Tov, E., Darlow, A., Pelleg, D.: What makes a query difficult? In: Proceedings of the SIGIR Conference (2006)
Cronen-Townsend, S., Zhou, Y., Croft, W.B.: Predicting query performance. In: Proceedings of the SIGIR Conference (2002)
He, B., Ounis, I.: Query performance prediction. Information Systems (2006)
Scholer, F., Williams, H.E., Turpin, A.: Query association surrogates for web search. JASIST (2004)
Voorhees, E.M.: Overview of the TREC 2004 robust retrieval track. In: Proceedings of the TREC Conference (2004)
Zhao, Y., Scholer, F., Tsegay, Y.: Effective Pre-retrieval Query Performance Prediction using Similarity and Variability Evidence. In: Macdonald, C., Ounis, I., Plachouras, V., Ruthven, I., White, R.W. (eds.) ECIR 2008. LNCS, vol. 4956, pp. 52–64. Springer, Heidelberg (2008)
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Boudin, F., Nie, JY., Dawes, M. (2012). Using a Medical Thesaurus to Predict Query Difficulty. In: Baeza-Yates, R., et al. Advances in Information Retrieval. ECIR 2012. Lecture Notes in Computer Science, vol 7224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28997-2_46
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DOI: https://doi.org/10.1007/978-3-642-28997-2_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28996-5
Online ISBN: 978-3-642-28997-2
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