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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 701750 of 753 papers

TitleStatusHype
Learning to Rank Query Graphs for Complex Question Answering over Knowledge GraphsCode0
Hashing as Tie-Aware Learning to RankCode0
Learning to Rank Question Answer Pairs with Holographic Dual LSTM ArchitectureCode0
Combinatorial Logistic BanditsCode0
Learning to Rank Rationales for Explainable RecommendationCode0
Rank Pooling for Action RecognitionCode0
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data StreamsCode0
Optimization of Decision Tree Evaluation Using SIMD InstructionsCode0
Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to RankCode0
Optimizing Group-Fair Plackett-Luce Ranking Models for Relevance and Ex-Post FairnessCode0
MGL2Rank: Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph FusionCode0
SetRank: Learning a Permutation-Invariant Ranking Model for Information RetrievalCode0
Learning to Rank Using Localized Geometric Mean MetricsCode0
ShaRP: A Novel Feature Importance Framework for RankingCode0
Distance-based Positive and Unlabeled Learning for RankingCode0
A Probabilistic Position Bias Model for Short-Video Recommendation FeedsCode0
Learning to Rank Visual Stories From Human Ranking DataCode0
Overcoming Prior Misspecification in Online Learning to RankCode0
Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank AlgorithmCode0
PairRank: Online Pairwise Learning to Rank by Divide-and-ConquerCode0
Unified Off-Policy Learning to Rank: a Reinforcement Learning PerspectiveCode0
Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to RankCode0
Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical PerformanceCode0
Learning to Rank Words: Optimizing Ranking Metrics for Word SpottingCode0
Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search DatasetCode0
A General Framework for Pairwise Unbiased Learning to RankCode0
Breaking Annotation Barriers: Generalized Video Quality Assessment via Ranking-based Self-SupervisionCode0
PASSerRank: Prediction of Allosteric Sites with Learning to RankCode0
Patch Ranking: Efficient CLIP by Learning to Rank Local PatchesCode0
Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal DiscoveryCode0
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative GainCode0
HAPI: A Model for Learning Robot Facial Expressions from Human PreferencesCode0
Groupwise Query Performance Prediction with BERTCode0
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and ApplicationCode0
Leveraging Topic Specificity and Social Relationships for Expert Finding in Community Question Answering PlatformsCode0
Leveraging Unlabeled Data for Crowd Counting by Learning to RankCode0
Unbiased Learning to Rank with Unbiased Propensity EstimationCode0
Fitting Sentence Level Translation Evaluation with Many Dense FeaturesCode0
Reinforcement Online Learning to Rank with Unbiased Reward ShapingCode0
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue SystemsCode0
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented GenerationCode0
Zipf Matrix Factorization : Matrix Factorization with Matthew Effect ReductionCode0
FAIRY: A Framework for Understanding Relationships between Users' Actions and their Social FeedsCode0
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and RelevanceCode0
BEER 1.1: ILLC UvA submission to metrics and tuning taskCode0
Distractor Generation for Multiple Choice Questions Using Learning to RankCode0
Unlearning for Federated Online Learning to Rank: A Reproducibility StudyCode0
Unbiased Pairwise Learning to Rank in Recommender SystemsCode0
LTRR: Learning To Rank Retrievers for LLMsCode0
Unbiased Top-k Learning to Rank with Causal Likelihood DecompositionCode0
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