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 201–225 of 753 papers

Title	Date	Tasks	Status	Hype
Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank	Dec 24, 2022	Decision MakingInformation Retrieval	—Unverified	0
Coarse-to-Fine Contrastive Learning on Graphs	Dec 13, 2022	Contrastive LearningLearning-To-Rank	—Unverified	0
Multi-Task Off-Policy Learning from Bandit Feedback	Dec 9, 2022	Learning-To-RankRecommendation Systems	—Unverified	0
Pareto Pairwise Ranking for Fairness Enhancement of Recommender Systems	Dec 6, 2022	FairnessLearning-To-Rank	—Unverified	0
RankDNN: Learning to Rank for Few-shot Learning	Nov 28, 2022	Few-Shot Learningimage-classification	CodeCode Available	1
RankCSE: Unsupervised Representation Learning via Learning to Rank	Nov 14, 2022	Contrastive LearningLearning-To-Rank	CodeCode Available	1
Learning to Rank Graph-based Application Objects on Heterogeneous Memories	Nov 4, 2022	Learning-To-Rank	—Unverified	0
Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance	Nov 2, 2022	Learning-To-Rankregression	—Unverified	0
Whole Page Unbiased Learning to Rank	Oct 19, 2022	Causal DiscoveryInformation Retrieval	—Unverified	0
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning	Oct 17, 2022	Learning-To-RankMulti-agent Reinforcement Learning	—Unverified	0
Off-policy evaluation for learning-to-rank via interpolating the item-position model and the position-based model	Oct 15, 2022	Learning-To-Rankmodel	—Unverified	0
MenuAI: Restaurant Food Recommendation System via a Transformer-based Deep Learning Model	Oct 15, 2022	Food recommendationLearning-To-Rank	—Unverified	0
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction	Oct 9, 2022	Click-Through Rate PredictionLearning-To-Rank	—Unverified	0
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization	Oct 4, 2022	Contrastive LearningImage Retrieval	CodeCode Available	1
Learning To Rank Diversely At Airbnb	Sep 19, 2022	Efficient Neural NetworkLearning-To-Rank	—Unverified	0
Toward Understanding Privileged Features Distillation in Learning-to-Rank	Sep 19, 2022	Learning-To-RankRecommendation Systems	—Unverified	0
Joint Upper & Lower Bound Normalization for IR Evaluation	Sep 12, 2022	Learning-To-Rank	—Unverified	0
ImitAL: Learned Active Learning Strategy on Synthetic Data	Aug 24, 2022	Active LearningInformativeness	CodeCode Available	0
Intersection of Parallels as an Early Stopping Criterion	Aug 19, 2022	counterfactualLearning-To-Rank	CodeCode Available	0
Reinforcement Learning to Rank with Coarse-grained Labels	Aug 16, 2022	Information RetrievalLearning-To-Rank	—Unverified	0
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data	Aug 5, 2022	Active LearningLearning-To-Rank	—Unverified	0
Image Quality Assessment: Learning to Rank Image Distortion Level	Aug 4, 2022	Image Quality AssessmentLearning-To-Rank	—Unverified	0
Noise tolerance of learning to rank under class-conditional label noise	Aug 3, 2022	Learning-To-Rank	—Unverified	0
Using clarification questions to improve software developers' Web search	Jul 26, 2022	Learning-To-Rankvalid	CodeCode Available	0
What makes you change your mind? An empirical investigation in online group decision-making conversations	Jul 25, 2022	Change Point DetectionDecision Making	—Unverified	0

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