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
Learning-to-Rank with BERT in TF-Ranking	Apr 17, 2020	Document RankingLearning-To-Rank	—Unverified
Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph	Apr 15, 2020	Graph EmbeddingLearning-To-Rank	—Unverified
The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection	Apr 6, 2020	Conversational Response SelectionDiversity	—Unverified
A Recurrent Model for Collective Entity Linking with Adaptive Features	Apr 3, 2020	Deep LearningEntity Disambiguation	CodeCode Available
Towards Productionizing Subjective Search Systems	Mar 31, 2020	BenchmarkingLanguage Modelling	—Unverified
AliExpress Learning-To-Rank: Maximizing Online Model Performance without Going Online	Mar 25, 2020	Learning-To-RankReinforcement Learning	—Unverified
Identifying Notable News Stories	Mar 16, 2020	Learning-To-Rank	—Unverified
StochasticRank: Global Optimization of Scale-Free Discrete Functions	Mar 4, 2020	global-optimizationLearning-To-Rank	—Unverified
Handling Position Bias for Unbiased Learning to Rank in Hotels Search	Feb 28, 2020	Learning-To-RankPosition	—Unverified
Cognitive Biomarker Prioritization in Alzheimer's Disease using Brain Morphometric Data	Feb 18, 2020	Learning-To-Rank	—Unverified
Learning to rank for uplift modeling	Feb 14, 2020	Learning-To-RankMarketing	—Unverified
Listwise Learning to Rank with Deep Q-Networks	Feb 13, 2020	Decision MakingLearning-To-Rank	—Unverified
AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment	Feb 9, 2020	DiversityEnsemble Learning	—Unverified
Eliminating Search Intent Bias in Learning to Rank	Feb 8, 2020	Learning-To-RankRetrieval	—Unverified
JPLink: On Linking Jobs to Vocational Interest Types	Feb 6, 2020	Learning-To-Rank	—Unverified
Boosting API Recommendation with Implicit Feedback	Feb 4, 2020	Active LearningLearning-To-Rank	—Unverified
Safe Exploration for Optimizing Contextual Bandits	Feb 2, 2020	counterfactualInformation Retrieval	CodeCode Available
Correcting for Selection Bias in Learning-to-rank Systems	Jan 29, 2020	counterfactualLearning-To-Rank	—Unverified
TopRank+: A Refinement of TopRank Algorithm	Jan 21, 2020	Learning-To-Rank	—Unverified
Influence Diagram Bandits	Jan 1, 2020	Learning-To-RankPosition	—Unverified
Cost-Sensitive Feature-Value Acquisition Using Feature Relevance	Dec 17, 2019	Learning-To-RankPrediction	—Unverified
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval	Dec 12, 2019	Information RetrievalLearning-To-Rank	CodeCode Available
Duet at TREC 2019 Deep Learning Track	Dec 10, 2019	Deep LearningLearning-To-Rank	CodeCode Available
Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity	Dec 1, 2019	DiversityLearning-To-Rank	—Unverified
An Alternative Cross Entropy Loss for Learning-to-Rank	Nov 22, 2019	Information RetrievalLearning-To-Rank	—Unverified

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