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 176–200 of 753 papers

Title	Date	Tasks	Status	Score
Counterfactual Learning to Rank using Heterogeneous Treatment Effect Estimation	Jul 19, 2020	counterfactualHeterogeneous Treatment Effect Estimation	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
Improving Similar Case Retrieval Ranking Performance By Revisiting RankSVM	Feb 16, 2025	Learning-To-RankRetrieval	CodeCode Available	5
Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographics	Jul 24, 2024	AttributeFairness	CodeCode Available	5
Hashing as Tie-Aware Learning to Rank	May 23, 2017	Image RetrievalLearning-To-Rank	CodeCode Available	5
Mend The Learning Approach, Not the Data: Insights for Ranking E-Commerce Products	Jul 24, 2019	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
Groupwise Query Performance Prediction with BERT	Apr 25, 2022	Learning-To-RankPrediction	CodeCode Available	5
On Curriculum Learning for Commonsense Reasoning	Jul 1, 2022	HellaSwagLearning-To-Rank	CodeCode Available	5
HAPI: A Model for Learning Robot Facial Expressions from Human Preferences	Mar 21, 2025	Bayesian OptimizationFacial expression generation	CodeCode Available	5
How to Forget Clients in Federated Online Learning to Rank?	Jan 24, 2024	Learning-To-Rank	CodeCode Available	5
End-to-End Neural Ad-hoc Ranking with Kernel Pooling	Jun 20, 2017	Ad-Hoc Information RetrievalDocument Ranking	CodeCode Available	5
Intersection of Parallels as an Early Stopping Criterion	Aug 19, 2022	counterfactualLearning-To-Rank	CodeCode Available	5
Overcoming Prior Misspecification in Online Learning to Rank	Jan 25, 2023	Learning-To-Rank	CodeCode Available	5
CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval	Jan 11, 2023	Conversational SearchInformation Retrieval	CodeCode Available	5
Fitting Sentence Level Translation Evaluation with Many Dense Features	Oct 1, 2014	Learning-To-RankMachine Translation	CodeCode Available	5
FAIRY: A Framework for Understanding Relationships between Users' Actions and their Social Feeds	Aug 8, 2019	Learning-To-Rank	CodeCode Available	5
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document	Sep 14, 2021	AllFact Checking	CodeCode Available	5
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems	Feb 20, 2023	Learning-To-RankReinforcement Learning (RL)	CodeCode Available	5
Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees	Apr 18, 2024	FairnessLearning-To-Rank	CodeCode Available	5
Contextual Semibandits via Supervised Learning Oracles	Feb 20, 2015	Decision MakingLearning-To-Rank	CodeCode Available	5
Exact Passive-Aggressive Algorithms for Learning to Rank Using Interval Labels	Aug 18, 2018	Learning-To-Rank	CodeCode Available	5
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank	Feb 17, 2019	Active LearningCrowd Counting	CodeCode Available	5
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs	Feb 19, 2024	Document RankingLearning-To-Rank	CodeCode Available	5

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