Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
An efficient boosting algorithm for combining preferences
The Journal of Machine Learning Research
Semi-Supervised Learning on Riemannian Manifolds
Machine Learning
Manifold-ranking based image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Generalization Bounds for the Area Under the ROC Curve
The Journal of Machine Learning Research
Learning to rank using gradient descent
ICML '05 Proceedings of the 22nd international conference on Machine learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
The Journal of Machine Learning Research
Magnitude-preserving ranking algorithms
Proceedings of the 24th international conference on Machine learning
On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning
The Journal of Machine Learning Research
Learning to rank relational objects and its application to web search
Proceedings of the 17th international conference on World Wide Web
Learning to rank with partially-labeled data
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Label ranking by learning pairwise preferences
Artificial Intelligence
Error bounds of multi-graph regularized semi-supervised classification
Information Sciences: an International Journal
Semi-supervised document retrieval
Information Processing and Management: an International Journal
Generalization Bounds for Ranking Algorithms via Algorithmic Stability
The Journal of Machine Learning Research
Semi-supervised ensemble ranking
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Journal of Artificial Intelligence Research
Margin-based Ranking and an Equivalence between AdaBoost and RankBoost
The Journal of Machine Learning Research
The P-Norm Push: A Simple Convex Ranking Algorithm that Concentrates at the Top of the List
The Journal of Machine Learning Research
Active reranking for web image search
IEEE Transactions on Image Processing
Semi-supervised graph-ranking for text retrieval
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
A transitivity analysis of bipartite rankings in pairwise multi-class classification
Information Sciences: an International Journal
Supervised ranking in the weka environment
Information Sciences: an International Journal
Semi-supervised ranking aggregation
Information Processing and Management: an International Journal
Rational Research model for ranking semantic entities
Information Sciences: an International Journal
Efficient manifold ranking for image retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Semi-supervised ranking on very large graphs with rich metadata
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Subset ranking using regression
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Manifold-ranking based retrieval using k-regular nearest neighbor graph
Pattern Recognition
Intelligent photo clustering with user interaction and distance metric learning
Pattern Recognition Letters
Semantic relevance ranking for XML keyword search
Information Sciences: an International Journal
Ranking Model Adaptation for Domain-Specific Search
IEEE Transactions on Knowledge and Data Engineering
Ensemble Manifold Regularization
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback
IEEE Transactions on Pattern Analysis and Machine Intelligence
Graph-Based Semi-Supervised Learning and Spectral Kernel Design
IEEE Transactions on Information Theory
Statistical Analysis of Bayes Optimal Subset Ranking
IEEE Transactions on Information Theory
Generalized Manifold-Ranking-Based Image Retrieval
IEEE Transactions on Image Processing
Toward the Optimization of Normalized Graph Laplacian
IEEE Transactions on Neural Networks
Non-Negative Patch Alignment Framework
IEEE Transactions on Neural Networks
DAML: Domain Adaptation Metric Learning
IEEE Transactions on Image Processing
Parallel Lasso for Large-Scale Video Concept Detection
IEEE Transactions on Multimedia
Combining relevancy and methodological quality into a single ranking for evidence-based medicine
Information Sciences: an International Journal
Ranking on Data Manifold with Sink Points
IEEE Transactions on Knowledge and Data Engineering
Statistical analysis of the moving least-squares method with unbounded sampling
Information Sciences: an International Journal
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Semi-supervised ranking is a relatively new and important learning problem inspired by many applications. We propose a novel graph-based regularized algorithm which learns the ranking function in the semi-supervised learning framework. It can exploit geometry of the data while preserving the magnitude of the preferences. The least squares ranking loss is adopted and the optimal solution of our model has an explicit form. We establish error analysis of our proposed algorithm and demonstrate the relationship between predictive performance and intrinsic properties of the graph. The experiments on three datasets for recommendation task and two quantitative structure-activity relationship datasets show that our method is effective and comparable to some other state-of-the-art algorithms for ranking.