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 676–700 of 753 papers

Title	Date	Tasks	Status
Learning Modulo Theories for preference elicitation in hybrid domains	Aug 18, 2015	Learning-To-Rank	—Unverified
Perceptron like Algorithms for Online Learning to Rank	Aug 4, 2015	General ClassificationInformation Retrieval	—Unverified
Challenges in clinical natural language processing for automated disorder normalization	Jul 14, 2015	Learning-To-RankMedical Named Entity Recognition	—Unverified
FAQ-based Question Answering via Word Alignment	Jul 9, 2015	Learning-To-RankQuestion Answering	—Unverified
Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM	Jul 2, 2015	feature selectionLearning-To-Rank	—Unverified
Learning Hybrid Representations to Retrieve Semantically Equivalent Questions	Jul 1, 2015	Information RetrievalKnowledge Graphs	—Unverified
SACRY: Syntax-based Automatic Crossword puzzle Resolution sYstem	Jul 1, 2015	Learning-To-Rank	—Unverified
Learning to Explain Entity Relationships in Knowledge Graphs	Jul 1, 2015	Knowledge GraphsLearning-To-Rank	CodeCode Available
SOLAR: Scalable Online Learning Algorithms for Ranking	Jul 1, 2015	Collaborative FilteringInformation Retrieval	—Unverified
Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles	Jul 1, 2015	Learning-To-Rank	—Unverified
CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task	Jun 1, 2015	Answer SelectionCommunity Question Answering	—Unverified
Making Better Use of Edges via Perceptual Grouping	Jun 1, 2015	Image RetrievalLearning-To-Rank	—Unverified
Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification	Jun 1, 2015	Learning-To-RankPatch Matching	—Unverified
Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network	May 29, 2015	AttributeImage Retrieval	—Unverified
Deep Ranking for Person Re-identification via Joint Representation Learning	May 26, 2015	Feature EngineeringLearning-To-Rank	—Unverified
Bag-of-Words Forced Decoding for Cross-Lingual Information Retrieval	May 1, 2015	Cross-Lingual Information RetrievalInformation Retrieval	—Unverified
Fast and Accurate Preordering for SMT using Neural Networks	May 1, 2015	Language ModelingLanguage Modelling	—Unverified
Learning to rank in person re-identification with metric ensembles	Mar 5, 2015	Learning-To-RankPerson Re-Identification	—Unverified
Contextual Semibandits via Supervised Learning Oracles	Feb 20, 2015	Decision MakingLearning-To-Rank	CodeCode Available
Cascading Bandits: Learning to Rank in the Cascade Model	Feb 10, 2015	Learning-To-Rank	—Unverified
Learning Efficient Anomaly Detectors from K-NN Graphs	Feb 6, 2015	Anomaly DetectionComputational Efficiency	—Unverified
Regression and Learning to Rank Aggregation for User Engagement Evaluation	Jan 29, 2015	Learning-To-RankRecommendation Systems	—Unverified
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels	Jan 25, 2015	AttributeLearning-To-Rank	—Unverified
Learning to Rank Academic Experts in the DBLP Dataset	Jan 21, 2015	Information RetrievalLearning-To-Rank	—Unverified
Detect2Rank : Combining Object Detectors Using Learning to Rank	Dec 26, 2014	Learning-To-RankObject	—Unverified

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