Informace o publikaci
Subspace Tracking for Latent Semantic Analysis
| Autoři | |
|---|---|
| Rok publikování | 2011 |
| Druh | Článek ve sborníku |
| Konference | Proceedings of the 33rd European Conference on Information Retrieval (ECIR) |
| Fakulta / Pracoviště MU | |
| Citace | |
| www | http://ecir2011.dcu.ie/ |
| Doi | http://dx.doi.org/10.1007/978-3-642-20161-5_29 |
| Obor | Teorie informace |
| Klíčová slova | scalability svd subspace tracking |
| Popis | Modern applications of Latent Semantic Analysis (LSA) must deal with enormous (often practically infinite) data collections, calling for a single-pass matrix decomposition algorithm that operates in constant memory w.r.t. the collection size. This paper introduces a \emph{streamed distributed algorithm for incremental SVD updates}. Apart from the theoretical derivation, we present experiments measuring numerical accuracy and runtime performance of the algorithm over several data collections, one of which is the whole of the English Wikipedia. |
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