81 search results - page 1 / 17 » Essential Dimensions of Latent Semantic Indexing (LSI) |
HICSS
2007
IEEE
13 years 11 months ago
2007
IEEE
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, ...
SIGIR
1999
ACM
13 years 8 months ago
1999
ACM
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 ...
IRAL
2003
ACM
13 years 9 months ago
2003
ACM
In this paper, we focus on performing LSI on very low SVD dimensions. The results show that there is a nearly linear surface in the local query region. Using low-dimensional LSI o...
DATESO
2004
13 years 6 months ago
2004
Abstract. In the area of information retrieval, the dimension of document vectors plays an important role. Firstly, with higher dimensions index structures suffer the "curse o...
IPM
2006
13 years 4 months ago
2006
In this paper we present a theoretical model for understanding the performance of Latent Semantic Indexing (LSI) search and retrieval applications. Many models for understanding L...