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Latent semantic indexing (LSI) has been demonstrated to outperform lexical matching in information retrieval. However, the enormous cost associated with the singular value decomposition (SVD) of the large term-by-document matrix becomes a barrier for its application to scalable information retrieval. This work shows that information filtering using level search techniques can reduce the SVD computation...
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