Abstract
This paper clarifies the apparent randomness and confusion in the choice of different query methods using LSI to be found in the current text and image retrieval literature. We also propose and test some modified query approaches using the novel technique of singular value rescaling (SVR). Experiments on standardized TREC data set confirmed the effectiveness of SVR, showing an improvement ratio of 5.6% over the best conventional LSI query approach.
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© 2005 Springer-Verlag Berlin Heidelberg
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Yan, H., Grosky, W.I., Fotouhi, F. (2005). Augmenting the Power of the Various Versions of LSI Used in Document Retrieval. In: Bhalla, S. (eds) Databases in Networked Information Systems. DNIS 2005. Lecture Notes in Computer Science, vol 3433. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31970-2_12
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DOI: https://doi.org/10.1007/978-3-540-31970-2_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25361-7
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