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» Automated Ranking of Database Query Results
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ICDE
2006
IEEE
128views Database» more  ICDE 2006»
14 years 3 months ago
Searching and Ranking Documents based on Semantic Relationships
Just as the link structure of the web is a critical component in today's web search, complex relationships (i.e., the different ways the dots are connected) will be an import...
Boanerges Aleman-Meza
AMR
2005
Springer
128views Multimedia» more  AMR 2005»
14 years 2 months ago
Ranking Invariance Based on Similarity Measures in Document Retrieval
Abstract. To automatically retrieve documents or images from a database, retrieval systems use similarity measures to compare a request based on features extracted from the documen...
Jean-François Omhover, Maria Rifqi, Marcin ...
SIGIR
1998
ACM
13 years 8 months ago
Exploring the Similarity Space
Ranked queries are used to locate relevant documents in text databases. In a ranked query a list of terms is specified, then the documents that most closely match the query are re...
Justin Zobel, Alistair Moffat
ICASSP
2008
IEEE
14 years 3 months ago
Query by humming of midi and audio using locality sensitive hashing
This paper proposes a query by humming method based on locality sensitive hashing (LSH). The method constructs an index of melodic fragments by extracting pitch vectors from a dat...
Matti Ryynänen, Anssi Klapuri
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 9 months ago
Keyword search on structured and semi-structured data
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...
Yi Chen, Wei Wang 0011, Ziyang Liu, Xuemin Lin