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SIGIR
2006
ACM
16 years 2 days 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
SIGIR
2009
ACM
16 years 19 days ago
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
Massih-Reza Amini, Nicolas Usunier
SIGIR
2010
ACM
15 years 6 months ago
Estimating interference in the QPRP for subtopic retrieval
The Quantum Probability Ranking Principle (QPRP) has been recently proposed, and accounts for interdependent document relevance when ranking. However, to be instantiated, the QPRP...
Guido Zuccon, Leif Azzopardi, Claudia Hauff, Keith...
157
Voted
WEBDB
2004
Springer
170views Database» more  WEBDB 2004»
15 years 11 months ago
Content and Structure in Indexing and Ranking XML
Rooted in electronic publishing, XML is now widely used for modelling and storing structured text documents. Especially in the WWW, retrieval of XML documents is most useful in co...
Felix Weigel, Holger Meuss, Klaus U. Schulz, Fran&...
142
Voted
CIKM
2005
Springer
15 years 11 months ago
Minimal document set retrieval
This paper presents a novel formulation and approach to the minimal document set retrieval problem. Minimal Document Set Retrieval (MDSR) is a promising information retrieval task...
Wei Dai, Rohini K. Srihari