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IJCAI
2007
13 years 6 months ago
Supervised Latent Semantic Indexing Using Adaptive Sprinkling
Latent Semantic Indexing (LSI) has been shown to be effective in recovering from synonymy and polysemy in text retrieval applications. However, since LSI ignores class labels of t...
Sutanu Chakraborti, Rahman Mukras, Robert Lothian,...
CIKM
2009
Springer
13 years 11 months ago
Supervised semantic indexing
We present a class of models that are discriminatively trained to directly map from the word content in a query-document or documentdocument pair to a ranking score. Like Latent Se...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
ICPR
2002
IEEE
14 years 5 months ago
Building a Latent Semantic Index of an Image Database from Patterns of Relevance Feedback
This paper proposes a novel view of the information generated by relevance feedback. Latent semantic analysis is adapted to this view to extract useful inter-query information. Th...
Douglas R. Heisterkamp
SIGIR
2005
ACM
13 years 10 months ago
Multi-label informed latent semantic indexing
Latent semantic indexing (LSI) is a well-known unsupervised approach for dimensionality reduction in information retrieval. However if the output information (i.e. category labels...
Kai Yu, Shipeng Yu, Volker Tresp
KDD
2009
ACM
211views Data Mining» more  KDD 2009»
14 years 5 months ago
Address standardization with latent semantic association
Address standardization is a very challenging task in data cleansing. To provide better customer relationship management and business intelligence for customer-oriented cooperates...
Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang,...