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SIGIR
2006
ACM
14 years 1 months ago
Learning a ranking from pairwise preferences
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
Ben Carterette, Desislava Petkova
CLEF
2006
Springer
13 years 11 months ago
A Penalisation-Based Ranking Approach for the Mixed Monolingual Task of WebCLEF 2006
This paper presents an approach of a cross-lingual information retrieval which uses a ranking method based on a penalisation version of the Jaccard formula. The obtained results a...
David Pinto, Paolo Rosso, Ernesto Jiménez
JASIS
2010
124views more  JASIS 2010»
13 years 6 months ago
Query polyrepresentation for ranking retrieval systems without relevance judgments
Ranking information retrieval (IR) systems with respect to their effectiveness is a crucial operation during IR evaluation, as well as during data fusion. This paper offers a no...
Miles Efron, Megan A. Winget
CLEF
2010
Springer
13 years 8 months ago
CLEF-IP 2010: Prior Art Retrieval Using the Different Sections in Patent Documents
In this paper we describe our participation in the 2010 CLEF-IP Prior Art Retrieval task where we examined the impact of information in different sections of patent documents, nam...
Eva D'hondt, Suzan Verberne
CVPR
2010
IEEE
14 years 1 months ago
Image Retrieval via Probabilistic Hypergraph Ranking
In this paper, we propose a new transductive learning framework for image retrieval, in which images are taken as vertices in a weighted hypergraph and the task of image search is...
Yuchi Huang, Qingshan Liu, Shaoting Zhang, Metaxas...