Abstract
In this paper, we propose an improved information retrieval model, where the integration of modification-words and head-words is introduced into the representation of user queries and the traditional vector space model. We show how to calculate the weights of combined terms in vectors. We also propose a new strategy to construct the thesaurus in a fuzzy way for query expansion. Through the developed information retrieval system, we can retrieve documents in a relatively narrow search space and meanwhile extend the coverage of the retrieval to the related documents that do not necessarily contain the same terms as the given query. Experiments for testing the retrieval effectiveness have been implemented by using benchmark corpora. Experimental results show that the improved information retrieval system is capable of improving the retrieval performance both in precision and recall rates.
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Wu, J., Tanioka, H., Wang, S., Pan, D., Yamamoto, K., Wang, Z. (2005). An Improved VSM Based Information Retrieval System and Fuzzy Query Expansion. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_68
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DOI: https://doi.org/10.1007/11539506_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28312-6
Online ISBN: 978-3-540-31830-9
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