The fast vector space and probabilistic methods use the term counts and the slower proximity methods use term positions. We present the spectral-based information retrieval method which is able to use both term count and position information to obtain high precision document rankings. We are able to perform this, in a time comparable to the vector space method, by examining the query term spectra rather than query term positions. This method is a generalisation of the vector space method (VSM). Therefore, our spectral method can use the weighting schemes and enhancements used in the VSM. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Ramamohanarao, K., & Park, L. A. F. (2004). Spectral-based document retrieval. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3321, 407–417. https://doi.org/10.1007/978-3-540-30502-6_30
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