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 126–150 of 753 papers

Title	Date	Tasks	Status	Score
Policy-Aware Unbiased Learning to Rank for Top-k Rankings	May 18, 2020	counterfactualLearning-To-Rank	CodeCode Available	5
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank	Aug 20, 2020	Information RetrievalLearning-To-Rank	CodeCode Available	5
LaSER: Language-Specific Event Recommendation	Feb 24, 2023	Information RetrievalLearning-To-Rank	CodeCode Available	5
Learning Cluster Representatives for Approximate Nearest Neighbor Search	Dec 8, 2024	ClusteringInformation Retrieval	CodeCode Available	5
Learning to Rank Aspects and Opinions for Comparative Explanations	Jan 16, 2025	Explainable RecommendationLearning-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
Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?	May 13, 2024	feature selectionInterpretable Machine Learning	CodeCode Available	5
Autoregressive Reasoning over Chains of Facts with Transformers	Dec 17, 2020	Learning-To-Rank	CodeCode Available	5
Is Non-IID Data a Threat in Federated Online Learning to Rank?	Apr 20, 2022	Federated LearningInformation Retrieval	CodeCode Available	5
Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking)	Oct 10, 2019	Learning-To-RankText Generation	CodeCode Available	5
Intersection of Parallels as an Early Stopping Criterion	Aug 19, 2022	counterfactualLearning-To-Rank	CodeCode Available	5
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study	Apr 4, 2024	counterfactualLearning-To-Rank	CodeCode Available	5
Joint Optimization of Cascade Ranking Models	Feb 11, 2019	Ad-Hoc Information RetrievalDocument Ranking	CodeCode Available	5
ImitAL: Learning Active Learning Strategies from Synthetic Data	Aug 17, 2021	Active LearningImitation Learning	CodeCode Available	5
How to Forget Clients in Federated Online Learning to Rank?	Jan 24, 2024	Learning-To-Rank	CodeCode Available	5
Improving Pairwise Ranking for Multi-label Image Classification	Apr 11, 2017	ClassificationGeneral Classification	CodeCode Available	5
DCM Bandits: Learning to Rank with Multiple Clicks	Feb 9, 2016	Learning-To-Rank	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
Improving Similar Case Retrieval Ranking Performance By Revisiting RankSVM	Feb 16, 2025	Learning-To-RankRetrieval	CodeCode Available	5
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank	Sep 27, 2023	Learning-To-Rank	CodeCode Available	5
ImitAL: Learned Active Learning Strategy on Synthetic Data	Aug 24, 2022	Active LearningInformativeness	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

Show:10 25 50

← PrevPage 6 of 31Next →

No leaderboard results yet.