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» A measure theoretic approach to information retrieval
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VLDB
2007
ACM
129views Database» more  VLDB 2007»
16 years 7 days ago
Anytime Measures for Top-k Algorithms
Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this paper, we initiate research on the anytime b...
Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Ni...
MMS
2007
15 years 5 months ago
Modeling user context with applications to media retrieval
In this paper, we develop a theoretical understanding of multi-sensory knowledge and user context and their interrelationships. This is used to develop a generic representation fr...
Ankur Mani, Hari Sundaram
SIGIR
2003
ACM
15 years 11 months ago
Using manually-built web directories for automatic evaluation of known-item retrieval
Information retrieval system evaluation is complicated by the need for manually assessed relevance judgments. Large manually-built directories on the web open the door to new eval...
Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury...
SAC
2006
ACM
16 years 3 days ago
Imprecise RDQL: towards generic retrieval in ontologies using similarity joins
Traditional semantic web query languages support a logicbased access to the semantic web. They offer a retrieval (or reasoning) of data based on facts. On the traditional web and...
Abraham Bernstein, Christoph Kiefer
GISCIENCE
2010
Springer
190views GIS» more  GISCIENCE 2010»
15 years 7 months ago
Semantic Referencing - Determining Context Weights for Similarity Measurement
Semantic similarity measurement is a key methodology in various domains ranging from cognitive science to geographic information retrieval on the Web. Meaningful notions of similar...
Krzysztof Janowicz, Benjamin Adams, Martin Raubal