Learning-To-Rank

Learning to rank is the application of machine learning to build ranking models. Some common use cases for ranking models are information retrieval (e.g., web search) and news feeds application (think Twitter, Facebook, Instagram).

Papers

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Showing 701–725 of 753 papers

Title	Date	Tasks	Status
Ranking via Robust Binary Classification	Dec 1, 2014	Binary ClassificationClassification	—Unverified
A Representation Theory for Ranking Functions	Dec 1, 2014	Learning-To-RankReranking	—Unverified
Learning to Rank Binary Codes	Oct 21, 2014	BinarizationImage Retrieval	—Unverified
Multivariate Spearman's rho for aggregating ranks using copulas	Oct 16, 2014	Learning-To-Rank	—Unverified
Fitting Sentence Level Translation Evaluation with Many Dense Features	Oct 1, 2014	Learning-To-RankMachine Translation	CodeCode Available
Invited Talk: Learning from Rational Behavior	Oct 1, 2014	Decision MakingLearning-To-Rank	—Unverified
Learning to Differentiate Better from Worse Translations	Oct 1, 2014	Learning-To-RankMachine Translation	—Unverified
The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking	Aug 9, 2014	ClusteringInformation Retrieval	—Unverified
Identifying Important Features for Graph Retrieval	Aug 1, 2014	Image RetrievalInformation Retrieval	—Unverified
Learning the Peculiar Value of Actions	Aug 1, 2014	Learning-To-Rank	—Unverified
Learning Rank Functionals: An Empirical Study	Jul 23, 2014	Information RetrievalLearning-To-Rank	—Unverified
RankMerging: A supervised learning-to-rank framework to predict links in large social network	Jul 9, 2014	feature selectionLearning-To-Rank	—Unverified
Automated Disease Normalization with Low Rank Approximations	Jun 1, 2014	Dimensionality ReductionLearning-To-Rank	—Unverified
Learning to Rank Answer Candidates for Automatic Resolution of Crossword Puzzles	Jun 1, 2014	Learning-To-RankQuestion Answering	—Unverified
Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval	Jun 1, 2014	Information RetrievalLearning-To-Rank	—Unverified
A Learning-to-Rank Approach for Image Color Enhancement	Jun 1, 2014	Learning-To-Rank	—Unverified
Learning to Exploit Different Translation Resources for Cross Language Information Retrieval	May 20, 2014	Information RetrievalLearning-To-Rank	—Unverified
Identification of functionally related enzymes by learning-to-rank methods	May 17, 2014	Learning-To-Rank	—Unverified
Perceptron-like Algorithms and Generalization Bounds for Learning to Rank	May 3, 2014	Generalization BoundsLearning-To-Rank	—Unverified
On Lipschitz Continuity and Smoothness of Loss Functions in Learning to Rank	May 3, 2014	Binary ClassificationLearning-To-Rank	—Unverified
Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data	Feb 11, 2014	Binary ClassificationGeneral Classification	—Unverified
Support vector comparison machines	Jan 30, 2014	Learning-To-Rank	CodeCode Available
A Hierarchical Semantics-Aware Distributional Similarity Scheme	Oct 1, 2013	Learning-To-RankSemantic Textual Similarity	—Unverified
Boosting Cross-Language Retrieval by Learning Bilingual Phrase Associations from Relevance Rankings	Oct 1, 2013	Information RetrievalLearning-To-Rank	—Unverified
Learning to Rank Lexical Substitutions	Oct 1, 2013	Learning-To-Rank	—Unverified

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