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Abstract: Currently, most approaches to retrieving textual materials from scientific databases depend on a lexical match between words in users' requests and those in or assigned to documents in a database. Because of the tremendous diversity in the words people use to describe the same document, lexical methods are necessarily incomplete and imprecise. Using the singular value decomposition (SVD), one can take advantage of the implicit higher-order structure in the association of terms with... (Update)
Context of citations to this paper: More
...number of dimensions corresponds to the semantic space dimensionality of original information source . See [14] for experiments results and [15] for more detailed examples of the SVD computation. Michael Berry gives in [15] a good example of this phenomenon. Consider the words...
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BibTeX entry: (Update)
M. Berry, S. Dumais, and T. Letsche, Computational methods for intelligent information access, in Proceedings of Supercomputing'95, San Diego, CA, December 1995. http://citeseer.ist.psu.edu/berry95computational.html More
@inproceedings{ berry95computational,
author = "Michael W. Berry and Susan T. Dumais and Todd A. Letsche",
title = "Computational Methods for Intelligent Information Access",
pages = "??--??",
year = "1995",
url = "citeseer.ist.psu.edu/berry95computational.html" }
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