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» Latent Semantic Indexing (LSI): TREC-3 Report
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SIGKDD
2010
146views more  SIGKDD 2010»
12 years 11 months ago
Latent semantic indexing (LSI) fails for TREC collections
The aim of latent semantic indexing (LSI) is to uncover the relationships between terms, hidden concepts, and documents. LSI uses the matrix factorization technique known as singu...
Avinash Atreya, Charles Elkan
SIGIR
1999
ACM
13 years 9 months ago
A Similarity-based Probability Model for Latent Semantic Indexing
A dual probability model is constructed for the Latent Semantic Indexing LSI using the cosine similarity measure. Both the document-document similarity matrix and the term-term ...
Chris H. Q. Ding
SIGIR
2004
ACM
13 years 10 months ago
Polynomial filtering in latent semantic indexing for information retrieval
Latent Semantic Indexing (LSI) is a well established and effective framework for conceptual information retrieval. In traditional implementations of LSI the semantic structure of...
Effrosini Kokiopoulou, Yousef Saad
HICSS
2007
IEEE
137views Biometrics» more  HICSS 2007»
13 years 11 months ago
Essential Dimensions of Latent Semantic Indexing (LSI)
Latent Semantic Indexing (LSI) is commonly used to match queries to documents in information retrieval applications. LSI has been shown to improve retrieval performance for some, ...
April Kontostathis