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MTA
2010
110views more  MTA 2010»
13 years 7 months ago
Thesaurus enrichment for query expansion in audiovisual archives
It is common practice in audiovisual archives to disclose documents using metadata from a structured vocabulary or thesaurus. Many of these thesauri have limited or no structure. T...
Laura Hollink, Véronique Malaisé, Gu...
KDD
2012
ACM
186views Data Mining» more  KDD 2012»
11 years 11 months ago
Maximum inner-product search using cone trees
The problem of efficiently finding the best match for a query in a given set with respect to the Euclidean distance or the cosine similarity has been extensively studied. However...
Parikshit Ram, Alexander G. Gray
ICDE
2012
IEEE
269views Database» more  ICDE 2012»
11 years 11 months ago
A Deep Embedding of Queries into Ruby
—We demonstrate SWITCH, a deep embedding of relational queries into RUBY and RUBY on RAILS. With SWITCH, there is no syntactic or stylistic difference between RUBY programs that ...
Torsten Grust, Manuel Mayr
IWPC
2007
IEEE
14 years 3 months ago
Combining Formal Concept Analysis with Information Retrieval for Concept Location in Source Code
The paper addresses the problem of concept location in source code by presenting an approach which combines Formal Concept Analysis (FCA) and Latent Semantic Indexing (LSI). In th...
Denys Poshyvanyk, Andrian Marcus
HICSS
2007
IEEE
137views Biometrics» more  HICSS 2007»
14 years 3 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