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 726–750 of 753 papers

Title	Date	Tasks	Status
A General Framework for Pairwise Unbiased Learning to Rank	Jul 18, 2022	Learning-To-RankPosition	CodeCode Available
Breaking Annotation Barriers: Generalized Video Quality Assessment via Ranking-based Self-Supervision	May 6, 2025	Learning-To-RankSelf-Supervised Learning	CodeCode Available
PASSerRank: Prediction of Allosteric Sites with Learning to Rank	Feb 2, 2023	Drug DiscoveryLearning-To-Rank	CodeCode Available
Patch Ranking: Efficient CLIP by Learning to Rank Local Patches	Sep 22, 2024	Learning-To-Rank	CodeCode Available
Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery	Jun 10, 2025	Causal DiscoveryCausal Inference	CodeCode Available
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain	Aug 6, 2021	Learning-To-RankNeural Architecture Search	CodeCode Available
HAPI: A Model for Learning Robot Facial Expressions from Human Preferences	Mar 21, 2025	Bayesian OptimizationFacial expression generation	CodeCode Available
Groupwise Query Performance Prediction with BERT	Apr 25, 2022	Learning-To-RankPrediction	CodeCode Available
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application	Mar 2, 2018	Decision MakingLearning-To-Rank	CodeCode Available
Leveraging Topic Specificity and Social Relationships for Expert Finding in Community Question Answering Platforms	Jul 4, 2024	Community Question AnsweringLearning-To-Rank	CodeCode Available
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank	Mar 8, 2018	Crowd CountingImage Retrieval	CodeCode Available
Unbiased Learning to Rank with Unbiased Propensity Estimation	Apr 16, 2018	Learning-To-Rankparameter estimation	CodeCode Available
Fitting Sentence Level Translation Evaluation with Many Dense Features	Oct 1, 2014	Learning-To-RankMachine Translation	CodeCode Available
Reinforcement Online Learning to Rank with Unbiased Reward Shaping	Jan 5, 2022	Learning-To-RankPosition	CodeCode Available
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
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation	Feb 5, 2024	Information RetrievalLearning-To-Rank	CodeCode Available
Zipf Matrix Factorization : Matrix Factorization with Matthew Effect Reduction	Jun 1, 2021	FairnessLearning-To-Rank	CodeCode Available
FAIRY: A Framework for Understanding Relationships between Users' Actions and their Social Feeds	Aug 8, 2019	Learning-To-Rank	CodeCode Available
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance	Feb 17, 2025	Learning-To-RankPosition	CodeCode Available
BEER 1.1: ILLC UvA submission to metrics and tuning task	Sep 1, 2015	Learning-To-RankMachine Translation	CodeCode Available
Distractor Generation for Multiple Choice Questions Using Learning to Rank	Jun 1, 2018	BIG-bench Machine LearningDistractor Generation	CodeCode Available
Unlearning for Federated Online Learning to Rank: A Reproducibility Study	May 19, 2025	Learning-To-Rank	CodeCode Available
Unbiased Pairwise Learning to Rank in Recommender Systems	Nov 25, 2021	AttributeLearning-To-Rank	CodeCode Available
LTRR: Learning To Rank Retrievers for LLMs	Jun 16, 2025	Learning-To-RankRAG	CodeCode Available
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition	Apr 2, 2022	Learning-To-RankPosition	CodeCode Available

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