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 276–300 of 753 papers

Title	Date	Tasks	Status
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions	Dec 5, 2018	Entity LinkingLearning-To-Rank	—Unverified
Inference-time Stochastic Ranking with Risk Control	Jun 12, 2023	FairnessLearning-To-Rank	—Unverified
Cascading Bandits Robust to Adversarial Corruptions	Feb 12, 2025	Learning-To-Rank	—Unverified
Factorizing LambdaMART for cold start recommendations	Nov 4, 2015	Learning-To-RankMatrix Completion	—Unverified
Factorization Machines Leveraging Lightweight Linked Open Data-enabled Features for Top-N Recommendations	Jul 28, 2017	Learning-To-RankRecommendation Systems	—Unverified
Cascading Bandits: Learning to Rank in the Cascade Model	Feb 10, 2015	Learning-To-Rank	—Unverified
Factorization Machines for Data with Implicit Feedback	Dec 19, 2018	Collaborative FilteringLearning-To-Rank	—Unverified
Extreme Learning to Rank via Low Rank Assumption	Jul 1, 2018	Learning-To-RankRecommendation Systems	—Unverified
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank	May 25, 2020	counterfactualLearning-To-Rank	—Unverified
Extractive Headline Generation Based on Learning to Rank for Community Question Answering	Aug 1, 2018	ArticlesCommunity Question Answering	—Unverified
Extraction of Domain-Specific Bilingual Lexicon from Comparable Corpora: Compositional Translation and Ranking	Dec 1, 2012	Learning-To-RankMachine Translation	—Unverified
Can Perturbations Help Reduce Investment Risks? Risk-Aware Stock Recommendation via Split Variational Adversarial Training	Apr 20, 2023	Learning-To-Rank	—Unverified
Answering questions by learning to rank -- Learning to rank by answering questions	Sep 2, 2019	ARCLearning-To-Rank	—Unverified
AIBench: An Industry Standard Internet Service AI Benchmark Suite	Aug 13, 2019	BenchmarkingLearning-To-Rank	—Unverified
Influence of Neighborhood on the Preference of an Item in eCommerce Search	Aug 10, 2019	Learning-To-Rank	—Unverified
Explore Entity Embedding Effectiveness in Entity Retrieval	Aug 28, 2019	Entity RetrievalLearning-To-Rank	—Unverified
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank	Nov 1, 2021	FairnessLearning-To-Rank	—Unverified
Exploration of Unranked Items in Safe Online Learning to Re-Rank	May 2, 2023	Learning-To-RankSafe Exploration	—Unverified
Building Cross-Sectional Systematic Strategies By Learning to Rank	Dec 13, 2020	Information RetrievalLearning-To-Rank	—Unverified
An IPW-based Unbiased Ranking Metric in Two-sided Markets	Jul 14, 2023	Learning-To-RankPosition	—Unverified
Explicit and Implicit Semantic Ranking Framework	Apr 11, 2023	Learning-To-RankText Summarization	—Unverified
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback	Jun 15, 2018	Learning-To-RankRe-Ranking	—Unverified
Explain and Conquer: Personalised Text-based Reviews to Achieve Transparency	May 3, 2022	Collaborative FilteringLanguage Modelling	—Unverified
Expected Divergence Based Feature Selection for Learning to Rank	Dec 1, 2012	feature selectionLearning-To-Rank	—Unverified
Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles	Jul 1, 2015	Learning-To-Rank	—Unverified

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