This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data by analyzing which links the users click on in the presented ranking.Expand

We propose to generalize multiclass Support Vector Machine learning in a formulation that involves features extracted jointly from inputs and outputs.Expand

This paper presents a Cutting Plane Algorithm for training linear SVMs that provably has training time 0(s,n) for classification problems and o(sn log (n)) for ordinal regression problems.Expand

We show that for an equivalent “1-slack” reformulation of the linear SVM training problem, our cutting-plane method has time complexity linear in the number of training examples.Expand

Learning to Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples that combines high performance and efficiency with theoretical understanding and improved robustness.Expand