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» Essential Dimensions of Latent Semantic Indexing (LSI)
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HICSS
2010
IEEE
200views Biometrics» more  HICSS 2010»
13 years 9 months ago
Instability of Relevance-Ranked Results Using Latent Semantic Indexing for Web Search
1 The latent semantic indexing (LSI) methodology for information retrieval applies the singular value decomposition to identify an eigensystem for a large matrix, in which cells re...
Houssain Kettani, Gregory B. Newby
AI
2005
Springer
14 years 1 months ago
Comparing Dimension Reduction Techniques for Document Clustering
In this research, a systematic study is conducted of four dimension reduction techniques for the text clustering problem, using five benchmark data sets. Of the four methods -- Ind...
Bin Tang, Michael A. Shepherd, Malcolm I. Heywood,...
ICDIM
2008
IEEE
14 years 1 months ago
A fast approximate algorithm for large-scale Latent Semantic Indexing
Latent Semantic Indexing (LSI) is an effective method to discover the underlying semantic structure of data. It has numerous applications in information retrieval and data mining....
Dell Zhang, Zheng Zhu
SIGIR
1999
ACM
13 years 11 months ago
Probabilistic Latent Semantic Indexing
Probabilistic Latent Semantic Indexing is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of count data. Fit...
Thomas Hofmann
TREC
2008
13 years 8 months ago
Distributed EDLSI, BM25, and Power Norm at TREC 2008
This paper describes our participation in the TREC Legal competition in 2008. Our first set of experiments involved the use of Latent Semantic Indexing (LSI) with a small number of...
April Kontostathis, Andrew Lilly, Raymond J. Spite...