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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

Showing 351400 of 753 papers

TitleStatusHype
Selective Query Processing: a Risk-Sensitive Selection of System Configurations0
Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking0
Self-Supervised Ranking for Representation Learning0
Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images0
Semantic Relatedness of Wikipedia Concepts -- Benchmark Data and a Working Solution0
Semi-Automatic Construction of Word-Formation Networks (for Polish and Spanish)0
Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling0
Sentence-Level Relation Extraction via Contrastive Learning with Descriptive Relation Prompts0
Separate and Attend in Personal Email Search0
Set2Seq Transformer: Learning Permutation Aware Set Representations of Artistic Sequences0
Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification0
Simple to Complex Cross-modal Learning to Rank0
Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model0
Skellam Rank: Fair Learning to Rank Algorithm Based on Poisson Process and Skellam Distribution for Recommender Systems0
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction0
SOLAR: Scalable Online Learning Algorithms for Ranking0
SortNet: Learning To Rank By a Neural-Based Sorting Algorithm0
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data0
Spectrum-enhanced Pairwise Learning to Rank0
StochasticRank: Global Optimization of Scale-Free Discrete Functions0
Stochastic Top-k ListNet0
Story Disambiguation: Tracking Evolving News Stories across News and Social Streams0
Structured ranking learning using cumulative distribution networks0
Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions0
TermPicker: Enabling the Reuse of Vocabulary Terms by Exploiting Data from the Linked Open Data Cloud - An Extended Technical Report0
The DipInfoUniTo Realizer at SRST'19: Learning to Rank and Deep Morphology Prediction for Multilingual Surface Realization0
The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking0
The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking0
THUIR2 at NTCIR-16 Session Search (SS) Task0
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation0
Time-Aware Evidence Ranking for Fact-Checking0
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems0
TopRank: A practical algorithm for online stochastic ranking0
TopRank+: A Refinement of TopRank Algorithm0
Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval0
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction0
Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank0
Towards Constructing Sports News from Live Text Commentary0
Towards Deep and Representation Learning for Talent Search at LinkedIn0
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank0
Towards Explainable Test Case Prioritisation with Learning-to-Rank Models0
Towards More Relevant Product Search Ranking Via Large Language Models: An Empirical Study0
Towards Non-Parametric Learning to Rank0
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback0
Towards Productionizing Subjective Search Systems0
Towards Theoretical Understanding of Weak Supervision for Information Retrieval0
Towards Two-Stage Counterfactual Learning to Rank0
Toward Understanding Privileged Features Distillation in Learning-to-Rank0
Transfer-Based Learning-to-Rank Assessment of Medical Term Technicality0
Transfer Learning by Ranking for Weakly Supervised Object Annotation0
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