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 526–550 of 753 papers

Title	Date	Tasks	Status
Differentiable Unbiased Online Learning to Rank	Sep 22, 2018	Learning-To-Rank	CodeCode Available
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System	Sep 19, 2018	Knowledge DistillationLearning-To-Rank	CodeCode Available
Towards Deep and Representation Learning for Talent Search at LinkedIn	Sep 17, 2018	Learning Semantic RepresentationsLearning-To-Rank	—Unverified
Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm	Sep 16, 2018	Learning-To-RankPosition	CodeCode Available
Exact Passive-Aggressive Algorithms for Learning to Rank Using Interval Labels	Aug 18, 2018	Learning-To-Rank	CodeCode Available
Story Disambiguation: Tracking Evolving News Stories across News and Social Streams	Aug 16, 2018	ArticlesEntity Disambiguation	—Unverified
Learning to Focus when Ranking Answers	Aug 8, 2018	Feature EngineeringLearning-To-Rank	—Unverified
Responding E-commerce Product Questions via Exploiting QA Collections and Reviews	Aug 1, 2018	Learning-To-RankSentence	—Unverified
Extractive Headline Generation Based on Learning to Rank for Community Question Answering	Aug 1, 2018	ArticlesCommunity Question Answering	—Unverified
CRST: a Claim Retrieval System in Twitter	Aug 1, 2018	Argument MiningLearning-To-Rank	—Unverified
Live Detection of Face Using Machine Learning with Multi-feature Method	Jul 27, 2018	BIG-bench Machine LearningFace Detection	—Unverified
A Line in the Sand: Recommendation or Ad-hoc Retrieval?	Jul 21, 2018	Collaborative FilteringLearning-To-Rank	—Unverified
A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion	Jul 13, 2018	Collaborative FilteringCollaborative Ranking	—Unverified
Towards Non-Parametric Learning to Rank	Jul 9, 2018	Feature EngineeringLearning-To-Rank	—Unverified
Biomedical Document Retrieval for Clinical Decision Support System	Jul 1, 2018	Information RetrievalLearning-To-Rank	—Unverified
A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval	Jul 1, 2018	Decision MakingDocument Ranking	—Unverified
Extreme Learning to Rank via Low Rank Assumption	Jul 1, 2018	Learning-To-RankRecommendation Systems	—Unverified
Efficient and Consistent Adversarial Bipartite Matching	Jul 1, 2018	Computational EfficiencyLearning-To-Rank	—Unverified
Posthoc Interpretability of Learning to Rank Models using Secondary Training Data	Jun 29, 2018	Decision MakingLearning-To-Rank	—Unverified
Learning to Rank from Samples of Variable Quality	Jun 21, 2018	Document RankingLearning-To-Rank	—Unverified
Par4Sim -- Adaptive Paraphrasing for Text Simplification	Jun 21, 2018	Learning-To-RankText Simplification	—Unverified
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback	Jun 15, 2018	Learning-To-RankRe-Ranking	—Unverified
Personalized Context-Aware Point of Interest Recommendation	Jun 14, 2018	Learning-To-Rank	—Unverified
Ranking Robustness Under Adversarial Document Manipulations	Jun 13, 2018	Learning-To-RankRetrieval	—Unverified
Towards Theoretical Understanding of Weak Supervision for Information Retrieval	Jun 13, 2018	Information RetrievalLearning-To-Rank	—Unverified

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