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CIKM
2005
Springer
13 years 9 months ago
Using RankBoost to compare retrieval systems
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...
Huyen-Trang Vu, Patrick Gallinari
CICLING
2011
Springer
12 years 11 months ago
Ranking Multilingual Documents Using Minimal Language Dependent Resources
This paper proposes an approach of extracting simple and effective features that enhances multilingual document ranking (MLDR). There is limited prior research on capturing the co...
G. S. K. Santosh, N. Kiran Kumar, Vasudeva Varma
IPM
2006
252views more  IPM 2006»
13 years 7 months ago
Automatic ranking of information retrieval systems using data fusion
Measuring effectiveness of information retrieval (IR) systems is essential for research and development and for monitoring search quality in dynamic environments. In this study, w...
Rabia Nuray, Fazli Can
CIKM
2007
Springer
13 years 11 months ago
Improve retrieval accuracy for difficult queries using negative feedback
How to improve search accuracy for difficult topics is an underaddressed, yet important research question. In this paper, we consider a scenario when the search results are so poo...
Xuanhui Wang, Hui Fang, ChengXiang Zhai
CLEF
2010
Springer
13 years 9 months ago
External and Intrinsic Plagiarism Detection Using a Cross-Lingual Retrieval and Segmentation System - Lab Report for PAN at CLEF
We present our hybrid system for the PAN challenge at CLEF 2010. Our system performs plagiarism detection for translated and non-translated externally as well as intrinsically plag...
Markus Muhr, Roman Kern, Mario Zechner, Michael Gr...