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 401–425 of 753 papers

Title	Date	Tasks	Status
Two-Layer Generalization Analysis for Ranking Using Rademacher Average	Dec 1, 2010	Generalization BoundsInformation Retrieval	—Unverified
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox	Aug 11, 2021	Learning-To-Rank	—Unverified
Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation	Aug 7, 2021	Exposure FairnessFairness	—Unverified
Unbiased Learning to Rank: Counterfactual and Online Approaches	Jul 16, 2019	counterfactualLearning-To-Rank	—Unverified
Unbiased Learning to Rank: Online or Offline?	Apr 28, 2020	Learning-To-Rank	—Unverified
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction	May 18, 2020	Learning-To-Rank	—Unverified
Unbiased Learning-to-Rank with Biased Feedback	Aug 16, 2016	counterfactualCounterfactual Inference	—Unverified
Unbiased Learning to Rank with Biased Continuous Feedback	Mar 8, 2023	Learning-To-RankPosition	—Unverified
Unbiased Offline Evaluation for Learning to Rank with Business Rules	Nov 3, 2023	Learning-To-RankOff-policy evaluation	—Unverified
Uncertain Natural Language Inference	Sep 6, 2019	Learning-To-RankNatural Language Inference	—Unverified
Unconfounded Propensity Estimation for Unbiased Ranking	May 17, 2023	Learning-To-Rank	—Unverified
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality	Jul 29, 2021	Learning-To-RankRecommendation Systems	—Unverified
Understanding the Effects of the Baidu-ULTR Logging Policy on Two-Tower Models	Sep 18, 2024	Learning-To-Rank	—Unverified
Understanding the Gist of Images - Ranking of Concepts for Multimedia Indexing	Sep 23, 2018	Learning-To-Rank	—Unverified
Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank	Jul 4, 2023	Information RetrievalLearning-To-Rank	—Unverified
Universalizing Weak Supervision	Dec 7, 2021	Computational EfficiencyLearning-To-Rank	—Unverified
Universal Text Representation from BERT: An Empirical Study	Oct 17, 2019	Learning-To-RankNatural Language Inference	—Unverified
U-rank: Utility-oriented Learning to Rank with Implicit Feedback	Nov 1, 2020	Click-Through Rate PredictionLearning-To-Rank	—Unverified
Using Learning-To-Rank to Enhance NLM Medical Text Indexer Results	Aug 1, 2016	Learning-To-Rank	—Unverified
Valid Explanations for Learning to Rank Models	Apr 29, 2020	Learning-To-Rankvalid	—Unverified
Variance Reduction in Gradient Exploration for Online Learning to Rank	Jun 10, 2019	Learning-To-Rank	—Unverified
Visualization on Financial Terms via Risk Ranking from Financial Reports	Dec 1, 2012	Learning-To-Rank	—Unverified
ViTOR: Learning to Rank Webpages Based on Visual Features	Mar 7, 2019	General Classificationimage-classification	—Unverified
VSoLSCSum: Building a Vietnamese Sentence-Comment Dataset for Social Context Summarization	Dec 1, 2016	Learning-To-RankSentence	—Unverified
Weakly-supervised Contextualization of Knowledge Graph Facts	May 7, 2018	Knowledge GraphsLearning-To-Rank	—Unverified

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