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» Direct Optimization of Ranking Measures
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SIGIR
2008
ACM
14 years 10 months ago
EigenRank: a ranking-oriented approach to collaborative filtering
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
Nathan Nan Liu, Qiang Yang
PAMI
2012
13 years 17 days ago
Angular Embedding: A Robust Quadratic Criterion
Abstract—Given the size and confidence of pairwise local orderings, angular embedding (AE) finds a global ordering with a nearglobal optimal eigensolution. As a quadratic crite...
Stella Yu
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
15 years 10 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
NIPS
2003
14 years 11 months ago
AUC Optimization vs. Error Rate Minimization
The area under an ROC curve (AUC) is a criterion used in many applications to measure the quality of a classification algorithm. However, the objective function optimized in most...
Corinna Cortes, Mehryar Mohri
AUTOMATICA
2002
111views more  AUTOMATICA 2002»
14 years 10 months ago
Virtual reference feedback tuning: a direct method for the design of feedback controllers
This paper considers the problem of designing a controller for an unknown plant based on input/output measurements. The new design method we propose is direct (no model identificat...
M. C. Campi, A. Lecchini, Sergio M. Savaresi