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CORR
2011
Springer
144views Education» more  CORR 2011»
8 years 1 months ago
Rank Aggregation via Nuclear Norm Minimization
The process of rank aggregation is intimately intertwined with the structure of skew-symmetric matrices. We apply recent advances in the theory and algorithms of matrix completion...
David F. Gleich, Lek-Heng Lim
ECIR
2006
Springer
8 years 10 months ago
Probabilistic Score Normalization for Rank Aggregation
Abstract. Rank aggregation is a pervading operation in IR technology. We hypothesize that the performance of score-based aggregation may be affected by artificial, usually meaningl...
Miriam Fernández, David Vallet, Pablo Caste...
SDM
2007
SIAM
169views Data Mining» more  SDM 2007»
8 years 10 months ago
Rank Aggregation for Similar Items
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
D. Sculley
SIGECOM
2010
ACM
183views ECommerce» more  SIGECOM 2010»
9 years 2 months ago
The unavailable candidate model: a decision-theoretic view of social choice
One of the fundamental problems in the theory of social choice is aggregating the rankings of a set of agents (or voters) into a consensus ranking. Rank aggregation has found appl...
Tyler Lu, Craig Boutilier
SIGIR
2006
ACM
9 years 3 months ago
Using historical data to enhance rank aggregation
Rank aggregation is a pervading operation in IR technology. We hypothesize that the performance of score-based aggregation may be affected by artificial, usually meaningless devia...
Miriam Fernández, David Vallet, Pablo Caste...
WAOA
2007
Springer
158views Algorithms» more  WAOA 2007»
9 years 3 months ago
Deterministic Algorithms for Rank Aggregation and Other Ranking and Clustering Problems
We consider ranking and clustering problems related to the aggregation of inconsistent information. Ailon, Charikar, and Newman [1] proposed randomized constant factor approximatio...
Anke van Zuylen, David P. Williamson
ECML
2007
Springer
9 years 3 months ago
An Unsupervised Learning Algorithm for Rank Aggregation
Many applications in information retrieval, natural language processing, data mining, and related fields require a ranking of instances with respect to a specified criteria as op...
Alexandre Klementiev, Dan Roth, Kevin Small
KDD
2009
ACM
184views Data Mining» more  KDD 2009»
9 years 4 months ago
Thumbs-Up: a game for playing to rank search results
Human computation is an effective way to channel human effort spent playing games to solving computational problems that are easy for humans but difficult for computers to autom...
Ali Dasdan, Chris Drome, Santanu Kolay, Micah Alpe...
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