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ECIR
2009
Springer
14 years 5 months ago
Mean-Variance Analysis: A New Document Ranking Theory in Information Retrieval
Abstract. This paper concerns document ranking in information retrieval. In information retrieval systems, the widely accepted probability ranking principle (PRP) suggests that, fo...
Jun Wang
CORR
2008
Springer
116views Education» more  CORR 2008»
13 years 8 months ago
Learning to rank with combinatorial Hodge theory
Abstract. We propose a number of techniques for learning a global ranking from data that may be incomplete and imbalanced -- characteristics that are almost universal to modern dat...
Xiaoye Jiang, Lek-Heng Lim, Yuan Yao, Yinyu Ye
ICTIR
2009
Springer
14 years 3 months ago
The Quantum Probability Ranking Principle for Information Retrieval
Abstract. While the Probability Ranking Principle for Information Retrieval provides the basis for formal models, it makes a very strong assumption regarding the dependence between...
Guido Zuccon, Leif Azzopardi, Keith van Rijsbergen
ECML
2006
Springer
14 years 7 days ago
A Selective Sampling Strategy for Label Ranking
Abstract. We propose a novel active learning strategy based on the compression framework of [9] for label ranking functions which, given an input instance, predict a total order ov...
Massih-Reza Amini, Nicolas Usunier, Françoi...
ALT
2010
Springer
13 years 3 months ago
PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation
Abstract. The importance of a node in a directed graph can be measured by its PageRank. The PageRank of a node is used in a number of application contexts
Balázs Csanád Csáji, Rapha&eu...