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» Context-sensitive ranking for document retrieval
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ECIR
2009
Springer
14 years 6 months ago
Regression Rank: Learning to Meet the Opportunity of Descriptive Queries
Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on ...
Matthew Lease, James Allan, W. Bruce Croft
FQAS
2006
Springer
90views Database» more  FQAS 2006»
14 years 1 months ago
XML-Structured Documents: Retrievable Units and Inheritance
We consider the retrieval of XML-structured documents, and of passages from such documents, defined as elements of the XML structure. These are considered from the point of view of...
Stephen E. Robertson, Wei Lu, Andrew MacFarlane
TAL
2010
Springer
13 years 8 months ago
Concept Based Representations for Ranking in Geographic Information Retrieval
Abstract. Geographic Information Retrieval (GIR) is a specialized Information Retrieval (IR) branch that deals with information related to geographical locations. Traditional IR en...
Maya Carrillo, Esaú Villatoro-Tello, Aureli...
ITCC
2003
IEEE
14 years 2 months ago
The Effects of Search Engines and Query Operators on Top Ranked Results
We examine whether the use of query operators changes the documents retrieved by three popular Web search engines. One hundred queries containing query operators were selected fro...
Bernard J. Jansen, Caroline M. Eastman
ICDE
2010
IEEE
202views Database» more  ICDE 2010»
14 years 9 months ago
Ranked Queries over Sources with Boolean Query Interfaces without Ranking Support
Many online or local data sources provide powerful querying mechanisms but limited ranking capabilities. For instance, PubMed allows users to submit highly expressive Boolean keywo...
Panagiotis G. Ipeirotis, Vagelis Hristidis, Yuheng...