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» Relevance Evaluation of Search Engines' Query Results
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CIKM
2010
Springer
14 years 10 months ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...
CIVR
2008
Springer
127views Image Analysis» more  CIVR 2008»
15 years 1 months ago
Performance evaluation of relevance feedback methods
In this paper we review the evaluation of relevance feedback methods for content-based image retrieval systems. We start out by presenting an overview of current common practice, ...
Mark J. Huiskes, Michael S. Lew
SIGIR
2003
ACM
15 years 4 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
IS
2006
14 years 11 months ago
Answering content and structure-based queries on XML documents using relevance propagation
As XML documents contain both content and structure information, taking advantage of the document structure in the retrieval process can lead to better identify relevant informati...
Karen Sauvagnat, Mohand Boughanem, Claude Chrismen...
CIVR
2010
Springer
299views Image Analysis» more  CIVR 2010»
15 years 1 months ago
Co-reranking by mutual reinforcement for image search
Most existing reranking approaches to image search focus solely on mining "visual" cues within the initial search results. However, the visual information cannot always ...
Ting Yao, Tao Mei, Chong-Wah Ngo