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» Latent Semantic Indexing: A Probabilistic Analysis
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SIGIR
1999
ACM
14 years 3 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
PODS
1998
ACM
112views Database» more  PODS 1998»
14 years 3 months ago
Latent Semantic Indexing: A Probabilistic Analysis
Christos H. Papadimitriou, Prabhakar Raghavan, His...
KDD
2005
ACM
180views Data Mining» more  KDD 2005»
14 years 4 months ago
Information retrieval based on collaborative filtering with latent interest semantic map
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Noriaki Kawamae, Katsumi Takahashi
MM
2004
ACM
154views Multimedia» more  MM 2004»
14 years 4 months ago
PLSA-based image auto-annotation: constraining the latent space
We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming ...
Florent Monay, Daniel Gatica-Perez
LWA
2004
14 years 9 days ago
Learning Prototype Ontologies by Hierachical Latent Semantic Analysis
An ontology is a speci...cation of a conceptualization, a shared understanding of some domain of interest. The paper develops an algorithm that hierarchically groups words together...
Gerhard Paaß, Jörg Kindermann, Edda Leo...