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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 76–100 of 753 papers

TitleStatusHype
Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation—0
Beyond Pairwise Learning-To-Rank At Airbnb—0
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao—0
Breaking Annotation Barriers: Generalized Video Quality Assessment via Ranking-based Self-SupervisionCode0
FAIR-QR: Enhancing Fairness-aware Information Retrieval through Query Refinement—0
HAPI: A Model for Learning Robot Facial Expressions from Human PreferencesCode0
Long Context Modeling with Ranked Memory-Augmented Retrieval—0
Weak Supervision for Improved Precision in Search Systems—0
Entailment-Preserving First-order Logic Representations in Natural Language Entailment—0
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and RelevanceCode0
Improving Similar Case Retrieval Ranking Performance By Revisiting RankSVMCode0
Cascading Bandits Robust to Adversarial Corruptions—0
Offline Learning for Combinatorial Multi-armed Bandits—0
Reqo: A Robust and Explainable Query Optimization Cost Model—0
RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question AnsweringCode0
Learning to Rank Aspects and Opinions for Comparative ExplanationsCode0
Efficient support ticket resolution using Knowledge Graphs—0
Learning to Rank Pre-trained Vision-Language Models for Downstream Tasks—0
Effective and secure federated online learning to rank—0
Learning Cluster Representatives for Approximate Nearest Neighbor SearchCode0
GABAR: Graph Attention-Based Action Ranking for Relational Policy Learning—0
A Versatile Influence Function for Data Attribution with Non-Decomposable Loss—0
ICLERB: In-Context Learning Embedding and Reranker Benchmark—0
LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System—0
A Survey on E-Commerce Learning to Rank—0
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