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 651–675 of 753 papers

Title	Date	Tasks	Status
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking	Jun 1, 2016	Feature EngineeringLearning-To-Rank	—Unverified
Learning to Rank Personalized Search Results in Professional Networks	May 16, 2016	Learning-To-Rank	—Unverified
Off-policy evaluation for slate recommendation	May 16, 2016	Learning-To-RankOff-policy evaluation	CodeCode Available
Machine Comprehension Based on Learning to Rank	May 11, 2016	BIG-bench Machine LearningLearning-To-Rank	—Unverified
Transfer-Based Learning-to-Rank Assessment of Medical Term Technicality	May 1, 2016	Language ModelingLanguage Modelling	—Unverified
Online Learning to Rank with Feedback at the Top	Mar 6, 2016	Learning-To-Rank	—Unverified
Generalization error bounds for learning to rank: Does the length of document lists matter?	Mar 6, 2016	Learning-To-Rank	—Unverified
Choice by Elimination via Deep Neural Networks	Feb 17, 2016	Learning-To-Rank	—Unverified
DCM Bandits: Learning to Rank with Multiple Clicks	Feb 9, 2016	Learning-To-Rank	CodeCode Available
Learning Minimum Volume Sets and Anomaly Detectors from KNN Graphs	Jan 22, 2016	Anomaly DetectionComputational Efficiency	—Unverified
TermPicker: Enabling the Reuse of Vocabulary Terms by Exploiting Data from the Linked Open Data Cloud - An Extended Technical Report	Jan 11, 2016	Learning-To-Rank	—Unverified
Rank Pooling for Action Recognition	Dec 6, 2015	Action RecognitionGesture Recognition	CodeCode Available
Learning to Rank Based on Subsequences	Dec 1, 2015	Learning-To-Rank	—Unverified
Activity Auto-Completion: Predicting Human Activities From Partial Videos	Dec 1, 2015	Activity PredictionInformation Retrieval	—Unverified
Predtron: A Family of Online Algorithms for General Prediction Problems	Dec 1, 2015	Binary ClassificationClassification	—Unverified
MidRank: Learning to rank based on subsequences	Nov 29, 2015	Learning-To-Rank	—Unverified
Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank	Nov 20, 2015	Learning-To-Rank	—Unverified
Handling Class Imbalance in Link Prediction using Learning to Rank Techniques	Nov 13, 2015	Binary ClassificationLearning-To-Rank	—Unverified
Factorizing LambdaMART for cold start recommendations	Nov 4, 2015	Learning-To-RankMatrix Completion	—Unverified
Stochastic Top-k ListNet	Nov 1, 2015	Learning-To-Rank	—Unverified
More Accurate Question Answering on Freebase	Oct 1, 2015	Learning-To-RankQuestion Answering	CodeCode Available
Chinese-to-Japanese Patent Machine Translation based on Syntactic Pre-ordering forWAT 2015	Oct 1, 2015	Chinese Word SegmentationDependency Parsing	—Unverified
Inducing Clause-Combining Rules: A Case Study with the SPaRKy Restaurant Corpus	Sep 1, 2015	Learning-To-RankText Generation	—Unverified
BEER 1.1: ILLC UvA submission to metrics and tuning task	Sep 1, 2015	Learning-To-RankMachine Translation	CodeCode Available
LDTM: A Latent Document Type Model for Cumulative Citation Recommendation	Sep 1, 2015	Citation RecommendationInformation Retrieval	—Unverified

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