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 101–125 of 753 papers

Title	Date	Tasks	Status	Score
Learning to Rank Aspects and Opinions for Comparative Explanations	Jan 16, 2025	Explainable RecommendationLearning-To-Rank	CodeCode Available	5
Intersection of Parallels as an Early Stopping Criterion	Aug 19, 2022	counterfactualLearning-To-Rank	CodeCode Available	5
An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation	Dec 24, 2021	Combinatorial OptimizationDeep Reinforcement Learning	CodeCode Available	5
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study	Apr 4, 2024	counterfactualLearning-To-Rank	CodeCode Available	5
Unbiased Learning to Rank with Unbiased Propensity Estimation	Apr 16, 2018	Learning-To-Rankparameter estimation	CodeCode Available	5
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources	Nov 6, 2017	Context Aware Product RecommendationLearning-To-Rank	CodeCode Available	5
ImitAL: Learning Active Learning Strategies from Synthetic Data	Aug 17, 2021	Active LearningImitation Learning	CodeCode Available	5
Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture	Jul 20, 2017	Feature EngineeringLearning-To-Rank	CodeCode Available	5
MGL2Rank: Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph Fusion	May 20, 2023	DiversityGraph Learning	CodeCode Available	5
Learning to Rank Using Localized Geometric Mean Metrics	May 22, 2017	Computational EfficiencyLearning-To-Rank	CodeCode Available	5
Improving Pairwise Ranking for Multi-label Image Classification	Apr 11, 2017	ClassificationGeneral Classification	CodeCode Available	5
A General Framework for Pairwise Unbiased Learning to Rank	Jul 18, 2022	Learning-To-RankPosition	CodeCode Available	5
ImitAL: Learned Active Learning Strategy on Synthetic Data	Aug 24, 2022	Active LearningInformativeness	CodeCode Available	5
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank	Mar 8, 2018	Crowd CountingImage Retrieval	CodeCode Available	5
A Recurrent Model for Collective Entity Linking with Adaptive Features	Apr 3, 2020	Deep LearningEntity Disambiguation	CodeCode Available	5
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain	Aug 6, 2021	Learning-To-RankNeural Architecture Search	CodeCode Available	5
Improving Similar Case Retrieval Ranking Performance By Revisiting RankSVM	Feb 16, 2025	Learning-To-RankRetrieval	CodeCode Available	5
BEER 1.1: ILLC UvA submission to metrics and tuning task	Sep 1, 2015	Learning-To-RankMachine Translation	CodeCode Available	5
Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographics	Jul 24, 2024	AttributeFairness	CodeCode Available	5
HAPI: A Model for Learning Robot Facial Expressions from Human Preferences	Mar 21, 2025	Bayesian OptimizationFacial expression generation	CodeCode Available	5
Groupwise Query Performance Prediction with BERT	Apr 25, 2022	Learning-To-RankPrediction	CodeCode Available	5
Hashing as Tie-Aware Learning to Rank	May 23, 2017	Image RetrievalLearning-To-Rank	CodeCode Available	5
Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits	Aug 8, 2024	Exposure FairnessFairness	CodeCode Available	5
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank	Aug 19, 2021	counterfactualLearning-To-Rank	CodeCode Available	5
How to Forget Clients in Federated Online Learning to Rank?	Jan 24, 2024	Learning-To-Rank	CodeCode Available	5

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