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» The Impact of Query Structure and Query Expansion on Retriev...
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WWW
2009
ACM
14 years 9 months ago
Exploiting web search engines to search structured databases
Web search engines often federate many user queries to relevant structured databases. For example, a product related query might be federated to a product database containing thei...
Arnd Christian König, Dong Xin, Kaushik Chakr...
SIGMOD
2009
ACM
250views Database» more  SIGMOD 2009»
14 years 9 months ago
Query processing techniques for solid state drives
Solid state drives perform random reads more than 100x faster than traditional magnetic hard disks, while offering comparable sequential read and write bandwidth. Because of their...
Dimitris Tsirogiannis, Stavros Harizopoulos, Mehul...
CIVR
2010
Springer
276views Image Analysis» more  CIVR 2010»
14 years 1 months ago
Optimizing visual search with implicit user feedback in interactive video retrieval
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis ...
ICDE
2008
IEEE
204views Database» more  ICDE 2008»
14 years 10 months ago
Keyword Search on Spatial Databases
Many applications require finding objects closest to a specified location that contains a set of keywords. For example, online yellow pages allow users to specify an address and a ...
Ian De Felipe, Vagelis Hristidis, Naphtali Rishe
SIGKDD
2010
146views more  SIGKDD 2010»
13 years 3 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