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» A boosting approach to improving pseudo-relevance feedback
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ECIR
2010
Springer
8 years 8 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...
CLEF
2007
Springer
9 years 1 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...
AIRS
2015
Springer
3 years 3 months ago
A Study of Collection-Based Features for Adapting the Balance Parameter in Pseudo Relevance Feedback
Pseudo-relevance feedback (PRF) is an effective technique to improve the ad-hoc retrieval performance. For PRF methods, how to optimize the balance parameter between the original ...
Ye Meng, Peng Zhang, Dawei Song, Yuexian Hou
ICTIR
2009
Springer
9 years 1 months ago
"A term is known by the company it keeps": On Selecting a Good Expansion Set in Pseudo-Relevance Feedback
Abstract. It is well known that pseudo-relevance feedback (PRF) improves the retrieval performance of Information Retrieval (IR) systems in general. However, a recent study by Cao ...
Raghavendra Udupa, Abhijit Bhole, Pushpak Bhattach...
CLEF
2007
Springer
9 years 1 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
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