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» Ranking Retrieval Systems with Partial Relevance Judgements
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ICIP
2003
IEEE
14 years 11 months ago
Performance evaluation of Euclidean/correlation-based relevance feedback algorithms in content-based image retrieval systems
In this paper, we evaluate and investigate two main types of relevance feedback algorithms; the Euclidean and the correlation?based approaches. In the first case, we examine heuri...
Anastasios D. Doulamis, Nikolaos D. Doulamis
SIGIR
2003
ACM
14 years 3 months ago
Automatic ranking of retrieval systems in imperfect environments
The empirical investigation of the effectiveness of information retrieval (IR) systems requires a test collection, a set of query topics, and a set of relevance judgments made by ...
Rabia Nuray, Fazli Can
ICMCS
2006
IEEE
139views Multimedia» more  ICMCS 2006»
14 years 3 months ago
A Measure for Evaluating Retrieval Techniques based on Partially Ordered Ground Truth Lists
For the RISM A/II collection of musical incipits (short extracts of scores, taken from the beginning), we have established a ground truth based on the opinions of human experts. I...
Rainer Typke, Remco C. Veltkamp, Frans Wiering
TREC
2001
13 years 11 months ago
Link-based Approaches for Text Retrieval
We assess a family of ranking mechanisms for search engines based on linkage analysis using a carefully engineered subset of the World Wide Web, WT10g (Bailey, Craswell and Hawking...
Julien Gevrey, Stefan M. Rüger
CIKM
2009
Springer
14 years 4 months ago
Expected reciprocal rank for graded relevance
While numerous metrics for information retrieval are available in the case of binary relevance, there is only one commonly used metric for graded relevance, namely the Discounted ...
Olivier Chapelle, Donald Metlzer, Ya Zhang, Pierre...