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» Factorization as a Rank 1 Problem
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IR
2010
14 years 8 months ago
Gradient descent optimization of smoothed information retrieval metrics
Abstract Most ranking algorithms are based on the optimization of some loss functions, such as the pairwise loss. However, these loss functions are often different from the criter...
Olivier Chapelle, Mingrui Wu
WSDM
2010
ACM
166views Data Mining» more  WSDM 2010»
15 years 7 months ago
Ranking Mechanisms in Twitter-Like Forums
We study the problem of designing a mechanism to rank items in forums by making use of the user reviews such as thumb and star ratings. We compare mechanisms where forum users rat...
Anish Das Sarma, Atish Das Sarma, Sreenivas Gollap...
ESA
2009
Springer
109views Algorithms» more  ESA 2009»
15 years 4 months ago
Iterative Rounding for Multi-Objective Optimization Problems
In this paper we show that iterative rounding is a powerful and flexible tool in the design of approximation algorithms for multiobjective optimization problems. We illustrate tha...
Fabrizio Grandoni, R. Ravi, Mohit Singh
SIGMOD
2008
ACM
111views Database» more  SIGMOD 2008»
15 years 10 months ago
Discovering bucket orders from full rankings
Discovering a bucket order B from a collection of possibly noisy full rankings is a fundamental problem that relates to various applications involving rankings. Informally, a buck...
Jianlin Feng, Qiong Fang, Wilfred Ng
ICCV
2003
IEEE
15 years 11 months ago
Ranking Prior Likelihood Distributions for Bayesian Shape Localization Framework
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
Shuicheng Yan, Mingjing Li, HongJiang Zhang, QianS...