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CLEF
2007
Springer
13 years 10 months ago
Using Pseudo-Relevance Feedback to Improve Image Retrieval Results
In this paper, we propose a pseudo-relevance feedback method to deal with the photographic retrieval and medical retrieval tasks of ImageCLEF 2007. The aim of our participation to...
Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Bough...
ICDM
2006
IEEE
143views Data Mining» more  ICDM 2006»
13 years 10 months ago
Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval
In this paper, we investigate the use of data mining, in particular the text classification and co-training techniques, to identify more relevant passages based on a small set of...
Xiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, ...
CLEF
2007
Springer
13 years 10 months ago
Amharic-English Information Retrieval with Pseudo Relevance Feedback
We describe cross language retrieval experiments using Amharic queries and English language document collection from our participation in the bilingual ad hoc track at the CLEF 20...
Atelach Alemu Argaw
CLEF
2005
Springer
13 years 10 months ago
Dublin City University at CLEF 2005: Experiments with the ImageCLEF St Andrew's Collection
The aim of the Dublin City University’s participation in the CLEF 2005 ImageCLEF St Andrew’s Collection task was to explore an alternative approach to exploiting text annotatio...
Gareth J. F. Jones, Kieran McDonald
ECIR
2010
Springer
13 years 6 months ago
On Improving Pseudo-Relevance Feedback Using Pseudo-Irrelevant Documents
Abstract. Pseudo-Relevance Feedback (PRF) assumes that the topranking n documents of the initial retrieval are relevant and extracts expansion terms from them. In this work, we int...
Karthik Raman, Raghavendra Udupa, Pushpak Bhattach...