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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 301–325 of 753 papers

Title	Date	Tasks	Status	Hype
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank	Aug 19, 2021	counterfactualLearning-To-Rank	CodeCode Available	0
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving	Aug 18, 2021	Learning-To-RankNeural Architecture Search	—Unverified	0
ImitAL: Learning Active Learning Strategies from Synthetic Data	Aug 17, 2021	Active LearningImitation Learning	CodeCode Available	0
Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm	Aug 12, 2021	Document RankingInformation Retrieval	—Unverified	0
Are Neural Ranking Models Robust?	Aug 11, 2021	Information RetrievalLearning-To-Rank	—Unverified	0
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox	Aug 11, 2021	Learning-To-Rank	—Unverified	0
Deep Pairwise Learning To Rank For Search Autocomplete	Aug 11, 2021	Learning-To-Rank	—Unverified	0
Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation	Aug 7, 2021	Exposure FairnessFairness	—Unverified	0
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain	Aug 6, 2021	Learning-To-RankNeural Architecture Search	CodeCode Available	0
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality	Jul 29, 2021	Learning-To-RankRecommendation Systems	—Unverified	0
Ranker-agnostic Contextual Position Bias Estimation	Jul 28, 2021	Learning-To-RankPosition	—Unverified	0
RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank	Jul 20, 2021	Image Super-ResolutionLearning-To-Rank	—Unverified	0
Leveraging semantically similar queries for ranking via combining representations	Jun 23, 2021	Learning-To-Rank	—Unverified	0
An Efficient Approach for Cross-Silo Federated Learning to Rank	Jun 21, 2021	Federated LearningLearning-To-Rank	CodeCode Available	1
Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation	Jun 21, 2021	Answer GenerationData Augmentation	—Unverified	0
RankDetNet: Delving Into Ranking Constraints for Object Detection	Jun 19, 2021	3D Object DetectionClassification	—Unverified	0
Learning to Rank Words: Optimizing Ranking Metrics for Word Spotting	Jun 9, 2021	Learning-To-RankRetrieval	CodeCode Available	0
On Learning to Rank Long Sequences with Contextual Bandits	Jun 7, 2021	Learning-To-RankMulti-Armed Bandits	—Unverified	0
New Insights into Metric Optimization for Ranking-based Recommendation	Jun 4, 2021	Learning-To-RankRecommendation Systems	CodeCode Available	0
Zipf Matrix Factorization : Matrix Factorization with Matthew Effect Reduction	Jun 1, 2021	FairnessLearning-To-Rank	CodeCode Available	0
De-Biased Modelling of Search Click Behavior with Reinforcement Learning	May 21, 2021	Learning-To-Rankreinforcement-learning	—Unverified	0
RLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search	May 21, 2021	Learning-To-Rankreinforcement-learning	—Unverified	0
Enhancing Cross-Sectional Currency Strategies by Context-Aware Learning to Rank with Self-Attention	May 20, 2021	Information RetrievalLearning-To-Rank	CodeCode Available	1
Federated Unbiased Learning to Rank	May 11, 2021	Federated LearningLearning-To-Rank	—Unverified	0
Scalable Personalised Item Ranking through Parametric Density Estimation	May 11, 2021	Density EstimationLearning-To-Rank	—Unverified	0

Show:10 25 50

← PrevPage 13 of 31Next →

No leaderboard results yet.