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» Learning to rank for information retrieval
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IPM
2008
78views more  IPM 2008»
13 years 7 months ago
Looking back: On relevance, probabilistic indexing and information retrieval
Forty-eight years ago Maron and Kuhns published their paper, ``On Relevance, Probabilistic Indexing and Information Retrieval" (1960). This was the first paper to present a p...
Paul Thompson
ISBI
2009
IEEE
14 years 2 months ago
Bridging the Semantic Gap Using Ranking Svm for Image Retrieval
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
CLEF
2005
Springer
14 years 1 months ago
FIRE in ImageCLEF 2005: Combining Content-Based Image Retrieval with Textual Information Retrieval
In this paper the methods we used in the 2005 ImageCLEF content-based image retrieval evaluation are described. For the medical retrieval task, we combined several low-level image ...
Thomas Deselaers, Tobias Weyand, Daniel Keysers, W...
SIGIR
2003
ACM
14 years 1 months ago
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
We present a non-traditional retrieval problem we call subtopic retrieval. The subtopic retrieval problem is concerned with finding documents that cover many different subtopics ...
ChengXiang Zhai, William W. Cohen, John D. Laffert...
ICTIR
2009
Springer
13 years 5 months ago
Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models
Abstract. A mismatch between differenteventspaceshasbeen used toargue against rank equivalence of classic probabilistic models of information retrieval and language models. We ques...
Corrado Boscarino, Arjen P. de Vries