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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 601–625 of 753 papers

TitleStatusHype
Personalized Context-Aware Multi-Modal Transportation Recommendation—0
Personalized Context-Aware Point of Interest Recommendation—0
Personalized Execution Time Optimization for the Scheduled Jobs—0
Cognitive Biomarker Prioritization in Alzheimer's Disease using Brain Morphometric Data—0
Pessimistic Off-Policy Optimization for Learning to Rank—0
Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback—0
Plackett-Luce model for learning-to-rank task—0
pNovo 3: precise de novo peptide sequencing using a learning-to-rank framework—0
Is Non-IID Data a Threat in Federated Online Learning to Rank?Code0
Joint Optimization of Cascade Ranking ModelsCode0
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information SourcesCode0
Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal PatternsCode0
Maximizing Marginal Fairness for Dynamic Learning to RankCode0
Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?Code0
Balancing Speed and Quality in Online Learning to Rank for Information RetrievalCode0
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility StudyCode0
Few-Shot Text Ranking with Meta Adapted Synthetic Weak SupervisionCode0
Support vector comparison machinesCode0
Reward Learning for Efficient Reinforcement Learning in Extractive Document SummarisationCode0
LaSER: Language-Specific Event RecommendationCode0
Policy-Gradient Training of Fair and Unbiased Ranking FunctionsCode0
Distilled Neural Networks for Efficient Learning to RankCode0
Metric Learning for Session-based RecommendationsCode0
Learning a Deep Listwise Context Model for Ranking RefinementCode0
Learning Cluster Representatives for Approximate Nearest Neighbor SearchCode0
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