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 476–500 of 753 papers

TitleStatusHype
A Machine Learning Approach for Smartphone-based Sensing of Roads and Driving Style—0
AIBench: An Industry Standard Internet Service AI Benchmark Suite—0
Influence of Neighborhood on the Preference of an Item in eCommerce Search—0
FAIRY: A Framework for Understanding Relationships between Users' Actions and their Social FeedsCode0
Reward Learning for Efficient Reinforcement Learning in Extractive Document SummarisationCode0
Mend The Learning Approach, Not the Data: Insights for Ranking E-Commerce ProductsCode0
Differentially Private Link Prediction With Protected Connections—0
Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval—0
Unbiased Learning to Rank: Counterfactual and Online Approaches—0
To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User InteractionsCode0
pNovo 3: precise de novo peptide sequencing using a learning-to-rank framework—0
Learning to Rank Broad and Narrow Queries in E-Commerce—0
Practical User Feedback-driven Internal Search Using Online Learning to Rank—0
Microsoft AI Challenge India 2018: Learning to Rank Passages for Web Question Answering with Deep Attention Networks—0
Variance Reduction in Gradient Exploration for Online Learning to Rank—0
Learning to Rank for Plausible Plausibility—0
A Passage-Based Approach to Learning to Rank Documents—0
A Study of Latent Structured Prediction Approaches to Passage Reranking—0
Cross-lingual Subjectivity Detection for Resource Lean Languages—0
Deep Metric Learning to RankCode0
Uncoupled Regression from Pairwise Comparison DataCode0
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model—0
Spectrum-enhanced Pairwise Learning to Rank—0
Block-distributed Gradient Boosted Trees—0
dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs—0
Show:102550
← PrevPage 20 of 31Next →

No leaderboard results yet.