Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
An Introduction to the Conjugate Gradient Method Without the Agonizing Pain
An Introduction to the Conjugate Gradient Method Without the Agonizing Pain
An efficient boosting algorithm for combining preferences
The Journal of Machine Learning Research
RCV1: A New Benchmark Collection for Text Categorization Research
The Journal of Machine Learning Research
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs
The Journal of Machine Learning Research
Large Margin Methods for Structured and Interdependent Output Variables
The Journal of Machine Learning Research
Learning to rank using gradient descent
ICML '05 Proceedings of the 22nd international conference on Machine learning
A support vector method for multivariate performance measures
ICML '05 Proceedings of the 22nd international conference on Machine learning
Adapting ranking SVM to document retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Training linear SVMs in linear time
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Training a Support Vector Machine in the Primal
Neural Computation
Learning to rank: from pairwise approach to listwise approach
Proceedings of the 24th international conference on Machine learning
Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
Proceedings of the 24th international conference on Machine learning
Subset ranking using regression
COLT'06 Proceedings of the 19th annual conference on Learning Theory
A Fast Tracking Algorithm for Generalized LARS/LASSO
IEEE Transactions on Neural Networks
Proceedings of the 19th international conference on World wide web
Learning dense models of query similarity from user click logs
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Training linear ranking SVMs in linearithmic time using red-black trees
Pattern Recognition Letters
Query-adaptive ranking with support vector machines for protein homology prediction
ISBRA'11 Proceedings of the 7th international conference on Bioinformatics research and applications
Person re-identification by descriptive and discriminative classification
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Scalable multi-dimensional user intent identification using tree structured distributions
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
An improved training algorithm for the linear ranking support vector machine
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
A pairwise ranking based approach to learning with positive and unlabeled examples
Proceedings of the 20th ACM international conference on Information and knowledge management
Improved answer ranking in social question-answering portals
Proceedings of the 3rd international workshop on Search and mining user-generated contents
Maximum margin ranking algorithms for information retrieval
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Contextual conditional models for smartphone-based human mobility prediction
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Relaxed pairwise learned metric for person re-identification
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
A modified random walk framework for handling negative ratings and generating explanations
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Mining large streams of user data for personalized recommendations
ACM SIGKDD Explorations Newsletter
Big & personal: data and models behind netflix recommendations
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Efficient gradient descent algorithm for sparse models with application in learning-to-rank
Knowledge-Based Systems
Branch&Rank for Efficient Object Detection
International Journal of Computer Vision
Machine Learning
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RankSVM (Herbrich et al. in Advances in large margin classifiers. MIT Press, Cambridge, MA, 2000; Joachims in Proceedings of the ACM conference on knowledge discovery and data mining (KDD), 2002) is a pairwise method for designing ranking models. SVMLight is the only publicly available software for RankSVM. It is slow and, due to incomplete training with it, previous evaluations show RankSVM to have inferior ranking performance. We propose new methods based on primal Newton method to speed up RankSVM training and show that they are 5 orders of magnitude faster than SVMLight. Evaluation on the Letor benchmark datasets after complete training using such methods shows that the performance of RankSVM is excellent.