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» A Retrieval Evaluation Methodology for Incomplete Relevance ...
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SIGIR
2003
ACM
13 years 10 months ago
On the effectiveness of evaluating retrieval systems in the absence of relevance judgments
Soboroff, Nicholas and Cahan recently proposed a method for evaluating the performance of retrieval systems without relevance judgments. They demonstrated that the system evaluat...
Javed A. Aslam, Robert Savell
EWCBR
2004
Springer
13 years 11 months ago
Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem Descriptions
A fundamental problem for case-based reasoning systems is how to select relevant prior cases. Numerous strategies have been developed for determining the similarity of prior cases,...
Steven Bogaerts, David B. Leake
AMT
2006
Springer
138views Multimedia» more  AMT 2006»
13 years 9 months ago
Relevence Assessment of Topic Ontology
In traditional Information Retrieval (IR), user profiles are often represented by keyword/concepts space vectors or by some predefined categories. Unfortunately, this data is often...
Xujuan Zhou, Yuefeng Li, Yue Xu, Raymond Lau
CLEF
2010
Springer
13 years 2 months ago
Examining the Robustness of Evaluation Metrics for Patent Retrieval with Incomplete Relevance Judgements
Recent years have seen a growing interest in research into patent retrieval. One of the key issues in conducting information retrieval (IR) research is meaningful evaluation of the...
Walid Magdy, Gareth J. F. Jones
CIKM
2007
Springer
13 years 9 months ago
Hypothesis testing with incomplete relevance judgments
Information retrieval experimentation generally proceeds in a cycle of development, evaluation, and hypothesis testing. Ideally, the evaluation and testing phases should be short ...
Ben Carterette, Mark D. Smucker