SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 753 papers

TitleStatusHype
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback—0
Explicit and Implicit Semantic Ranking Framework—0
Building Cross-Sectional Systematic Strategies By Learning to Rank—0
Exploration of Unranked Items in Safe Online Learning to Re-Rank—0
Explore Entity Embedding Effectiveness in Entity Retrieval—0
Influence of Neighborhood on the Preference of an Item in eCommerce Search—0
Extraction of Domain-Specific Bilingual Lexicon from Comparable Corpora: Compositional Translation and Ranking—0
Extractive Headline Generation Based on Learning to Rank for Community Question Answering—0
Extreme Learning to Rank via Low Rank Assumption—0
Factorization Machines for Data with Implicit Feedback—0
Factorization Machines Leveraging Lightweight Linked Open Data-enabled Features for Top-N Recommendations—0
Factorizing LambdaMART for cold start recommendations—0
Cascading Bandits Robust to Adversarial Corruptions—0
Inference-time Stochastic Ranking with Risk Control—0
Fairness for Robust Learning to Rank—0
Fairness in Ranking: A Survey—0
Fairness Through Regularization for Learning to Rank—0
FAIR-QR: Enhancing Fairness-aware Information Retrieval through Query Refinement—0
Chinese-to-Japanese Patent Machine Translation based on Syntactic Pre-ordering forWAT 2015—0
A Passage-Based Approach to Learning to Rank Documents—0
FAQ-based Question Answering via Word Alignment—0
Fast and Accurate Preordering for SMT using Neural Networks—0
Analysis of E-commerce Ranking Signals via Signal Temporal Logic—0
FAST: Financial News and Tweet Based Time Aware Network for Stock Trading—0
FOLD-TR: A Scalable and Efficient Inductive Learning Algorithm for Learning To Rank—0
Show:102550
← PrevPage 9 of 31Next →

No leaderboard results yet.