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» Ranking Retrieval Systems with Partial Relevance Judgements
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SIGIR
2010
ACM
15 years 5 months ago
Extending average precision to graded relevance judgments
Evaluation metrics play a critical role both in the context of comparative evaluation of the performance of retrieval systems and in the context of learning-to-rank (LTR) as objec...
Stephen E. Robertson, Evangelos Kanoulas, Emine Yi...
TITB
2008
111views more  TITB 2008»
15 years 1 months ago
A Spine X-Ray Image Retrieval System Using Partial Shape Matching
In recent years, there has been a rapid increase in the size and number of medical image collections. Thus, the development of appropriate methods for medical information retrieval...
Xiaoqian Xu, Dah-Jye Lee, Sameer Antani, L. Rodney...
IADIS
2004
15 years 2 months ago
Relevance feedback using semantic association between indexing terms in large free text corpuses
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
Shahzad Khan, Kenan Azam
DEXA
2007
Springer
127views Database» more  DEXA 2007»
15 years 7 months ago
A Method for Determining Ontology-Based Semantic Relevance
The semantic web is based on ontologies and metadata that indexes resources using ontologies. This indexing is called annotation. Ontology based information retrieval is an operati...
Tuukka Ruotsalo, Eero Hyvönen
CIKM
2009
Springer
15 years 7 months ago
Relying on topic subsets for system ranking estimation
Ranking a number of retrieval systems according to their retrieval effectiveness without relying on costly relevance judgments was first explored by Soboroff et al [6]. Over th...
Claudia Hauff, Djoerd Hiemstra, Franciska de Jong,...