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 501–525 of 753 papers

Title	Date	Tasks	Status	Hype
Joint Optimization of Cascade Ranking Models	Feb 11, 2019	Ad-Hoc Information RetrievalDocument Ranking	CodeCode Available	0
Policy Learning for Fairness in Ranking	Feb 11, 2019	FairnessLearning-To-Rank	CodeCode Available	0
Optimizing Ranking Models in an Online Setting	Jan 29, 2019	Learning-To-Rank	—Unverified	0
Neural IR Meets Graph Embedding: A Ranking Model for Product Search	Jan 24, 2019	Graph EmbeddingInformation Retrieval	—Unverified	0
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams	Jan 2, 2019	Learning-To-RankReinforcement Learning	CodeCode Available	0
Position Bias Estimation for Unbiased Learning-to-Rank in eCommerce Search	Dec 21, 2018	Learning-To-RankPosition	—Unverified	0
Factorization Machines for Data with Implicit Feedback	Dec 19, 2018	Collaborative FilteringLearning-To-Rank	—Unverified	0
Estimating Position Bias without Intrusive Interventions	Dec 12, 2018	counterfactualLearning-To-Rank	—Unverified	0
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems	Dec 10, 2018	Learning-To-RankRecommendation Systems	—Unverified	0
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions	Dec 5, 2018	Entity LinkingLearning-To-Rank	—Unverified	0
MOFSRank: A Multiobjective Evolutionary Algorithm for Feature Selection in Learning to Rank	Dec 2, 2018	Collaborative Filteringfeature selection	—Unverified	0
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank	Nov 30, 2018	Document SummarizationLearning-To-Rank	CodeCode Available	0
Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks	Nov 11, 2018	Learning-To-Rank	CodeCode Available	1
Intervention Harvesting for Context-Dependent Examination-Bias Estimation	Nov 5, 2018	Learning-To-RankPosition	—Unverified	0
Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs	Nov 2, 2018	Graph RankingKnowledge Graphs	CodeCode Available	0
Retrieve and Re-rank: A Simple and Effective IR Approach to Simple Question Answering over Knowledge Graphs	Nov 1, 2018	Entity LinkingInformation Retrieval	—Unverified	0
Ontology-Based Retrieval \& Neural Approaches for BioASQ Ideal Answer Generation	Nov 1, 2018	Abstractive Text SummarizationAnswer Generation	—Unverified	0
Online Diverse Learning to Rank from Partial-Click Feedback	Nov 1, 2018	Learning-To-RankRecommendation Systems	—Unverified	0
Online Learning to Rank with Features	Oct 5, 2018	Learning-To-Rank	—Unverified	0
Entity Linking within a Social Media Platform: A Case Study on Yelp	Oct 1, 2018	Entity LinkingLearning-To-Rank	CodeCode Available	0
Understanding the Gist of Images - Ranking of Concepts for Multimedia Indexing	Sep 23, 2018	Learning-To-Rank	—Unverified	0
Query Understanding via Entity Attribute Identification	Sep 23, 2018	AttributeLearning-To-Rank	—Unverified	0
Differentiable Unbiased Online Learning to Rank	Sep 22, 2018	Learning-To-Rank	CodeCode Available	0
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System	Sep 19, 2018	Knowledge DistillationLearning-To-Rank	CodeCode Available	0
Towards Deep and Representation Learning for Talent Search at LinkedIn	Sep 17, 2018	Learning Semantic RepresentationsLearning-To-Rank	—Unverified	0

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