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 351–375 of 753 papers

TitleStatusHype
Learning to Rank Based on Subsequences—0
Learning to Rank for Active Learning: A Listwise Approach—0
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization—0
Learning to Rank for Blind Image Quality Assessment—0
Learning to Rank based on Analogical Reasoning—0
Learning to Rank for Expert Search in Digital Libraries of Academic Publications—0
Learning to Rank for Maps at Airbnb—0
Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization—0
BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale—0
Learning to Rank For Push Notifications Using Pairwise Expected Regret—0
Learning to Rank for Synthesizing Planning Heuristics—0
Learning to rank for uplift modeling—0
An Attention-Based Deep Net for Learning to Rank—0
Drug Selection via Joint Push and Learning to Rank—0
Learning to Rank Graph-based Application Objects on Heterogeneous Memories—0
Learning to Rank Answer Candidates for Automatic Resolution of Crossword Puzzles—0
Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics—0
Learning to Rank Intents in Voice Assistants—0
Learning to Rank in the Age of Muppets: Effectiveness–Efficiency Tradeoffs in Multi-Stage Ranking—0
Learning to Rank in the Position Based Model with Bandit Feedback—0
Learning to Rank Learning Curves—0
Learning to Rank Lexical Substitutions—0
BanditRank: Learning to Rank Using Contextual Bandits—0
Learning to Rank Academic Experts in the DBLP Dataset—0
LearningToQuestion at SemEval 2017 Task 3: Ranking Similar Questions by Learning to Rank Using Rich Features—0
Show:102550
← PrevPage 15 of 31Next →

No leaderboard results yet.