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 51–75 of 753 papers

Title	Date	Tasks	Status	Hype	Score
That is a Known Lie: Detecting Previously Fact-Checked Claims	May 12, 2020	Fact CheckingLearning-To-Rank	CodeCode Available	1	5
THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rank	Apr 25, 2023	Learning-To-Rank	CodeCode Available	1	5
THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment	May 11, 2023	Information RetrievalLearning-To-Rank	CodeCode Available	1	5
ILMART: Interpretable Ranking with Constrained LambdaMART	Jun 1, 2022	Learning-To-Rank	CodeCode Available	1	5
A Large Scale Search Dataset for Unbiased Learning to Rank	Jul 7, 2022	Causal DiscoveryLanguage Modelling	CodeCode Available	1	5
L2R2: Leveraging Ranking for Abductive Reasoning	May 22, 2020	Language ModellingLearning-To-Rank	CodeCode Available	1	5
Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild	May 28, 2020	Image Quality AssessmentLearning-To-Rank	CodeCode Available	1	5
A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-Supervision	Jun 21, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1	5
Lero: A Learning-to-Rank Query Optimizer	Feb 14, 2023	Binary ClassificationLearning-To-Rank	CodeCode Available	1	5
NeuralNDCG: Direct Optimisation of a Ranking Metric via Differentiable Relaxation of Sorting	Feb 15, 2021	Information RetrievalLearning-To-Rank	CodeCode Available	1	5
Selective Weak Supervision for Neural Information Retrieval	Jan 28, 2020	Information RetrievalLearning-To-Rank	CodeCode Available	1	5
LiPO: Listwise Preference Optimization through Learning-to-Rank	Feb 2, 2024	Learning-To-Rank	CodeCode Available	1	5
Introducing LETOR 4.0 Datasets	Jun 9, 2013	Learning-To-Rank	CodeCode Available	1	5
Enhancing Cross-Sectional Currency Strategies by Context-Aware Learning to Rank with Self-Attention	May 20, 2021	Information RetrievalLearning-To-Rank	CodeCode Available	1	5
Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks	Nov 11, 2018	Learning-To-Rank	CodeCode Available	1	5
Learning Latent Vector Spaces for Product Search	Aug 25, 2016	Learning-To-Rankparameter estimation	CodeCode Available	1	5
Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation With Minimal Computational Complexity	Apr 22, 2022	Learning-To-Rank	CodeCode Available	1	5
Context-Aware Learning to Rank with Self-Attention	May 20, 2020	Learning-To-Rank	CodeCode Available	1	5
Joint Optimization of Cascade Ranking Models	Feb 11, 2019	Ad-Hoc Information RetrievalDocument Ranking	CodeCode Available	0	5
Is Non-IID Data a Threat in Federated Online Learning to Rank?	Apr 20, 2022	Federated LearningInformation Retrieval	CodeCode Available	0	5
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources	Nov 6, 2017	Context Aware Product RecommendationLearning-To-Rank	CodeCode Available	0	5
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study	Apr 4, 2024	counterfactualLearning-To-Rank	CodeCode Available	0	5
A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search	Apr 17, 2024	ClusteringInformation Retrieval	CodeCode Available	0	5
Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?	May 13, 2024	feature selectionInterpretable Machine Learning	CodeCode Available	0	5
A Recurrent Model for Collective Entity Linking with Adaptive Features	Apr 3, 2020	Deep LearningEntity Disambiguation	CodeCode Available	0	5

Show:10 25 50

← PrevPage 3 of 31Next →

No leaderboard results yet.