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 426–450 of 753 papers

Title	Date	Tasks	Status	Hype
Gradient Boosting Neural Networks: GrowNet	Feb 19, 2020	Learning-To-Rankregression	CodeCode Available	1
Cognitive Biomarker Prioritization in Alzheimer's Disease using Brain Morphometric Data	Feb 18, 2020	Learning-To-Rank	—Unverified	0
Learning to rank for uplift modeling	Feb 14, 2020	Learning-To-RankMarketing	—Unverified	0
Listwise Learning to Rank with Deep Q-Networks	Feb 13, 2020	Decision MakingLearning-To-Rank	—Unverified	0
AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment	Feb 9, 2020	DiversityEnsemble Learning	—Unverified	0
Eliminating Search Intent Bias in Learning to Rank	Feb 8, 2020	Learning-To-RankRetrieval	—Unverified	0
JPLink: On Linking Jobs to Vocational Interest Types	Feb 6, 2020	Learning-To-Rank	—Unverified	0
Boosting API Recommendation with Implicit Feedback	Feb 4, 2020	Active LearningLearning-To-Rank	—Unverified	0
Safe Exploration for Optimizing Contextual Bandits	Feb 2, 2020	counterfactualInformation Retrieval	CodeCode Available	0
Correcting for Selection Bias in Learning-to-rank Systems	Jan 29, 2020	counterfactualLearning-To-Rank	—Unverified	0
Selective Weak Supervision for Neural Information Retrieval	Jan 28, 2020	Information RetrievalLearning-To-Rank	CodeCode Available	1
TopRank+: A Refinement of TopRank Algorithm	Jan 21, 2020	Learning-To-Rank	—Unverified	0
Listwise Learning to Rank by Exploring Unique Ratings	Jan 7, 2020	Learning-To-Rank	CodeCode Available	1
Influence Diagram Bandits	Jan 1, 2020	Learning-To-RankPosition	—Unverified	0
Cost-Sensitive Feature-Value Acquisition Using Feature Relevance	Dec 17, 2019	Learning-To-RankPrediction	—Unverified	0
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval	Dec 12, 2019	Information RetrievalLearning-To-Rank	CodeCode Available	0
Duet at TREC 2019 Deep Learning Track	Dec 10, 2019	Deep LearningLearning-To-Rank	CodeCode Available	0
Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity	Dec 1, 2019	DiversityLearning-To-Rank	—Unverified	0
An Alternative Cross Entropy Loss for Learning-to-Rank	Nov 22, 2019	Information RetrievalLearning-To-Rank	—Unverified	0
Separate and Attend in Personal Email Search	Nov 21, 2019	Learning-To-Rank	—Unverified	0
Policy-Gradient Training of Fair and Unbiased Ranking Functions	Nov 19, 2019	counterfactualDecision Making	CodeCode Available	0
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment	Nov 2, 2019	ArticlesLearning-To-Rank	—Unverified	0
Answering questions by learning to rank - Learning to rank by answering questions	Nov 1, 2019	ARCLearning-To-Rank	—Unverified	0
ARSM Gradient Estimator for Supervised Learning to Rank	Nov 1, 2019	Learning-To-Rank	—Unverified	0
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents	Nov 1, 2019	Learning-To-RankMulti-Hop Reading Comprehension	CodeCode Available	0

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