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 51–75 of 753 papers

Title	Date	Tasks	Status	Hype
SmoothI: Smooth Rank Indicators for Differentiable IR Metrics	May 3, 2021	Information RetrievalLearning-To-Rank	CodeCode Available	1
Context-Aware Learning to Rank with Self-Attention	May 20, 2020	Learning-To-Rank	CodeCode Available	1
That is a Known Lie: Detecting Previously Fact-Checked Claims	May 12, 2020	Fact CheckingLearning-To-Rank	CodeCode Available	1
THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rank	Apr 25, 2023	Learning-To-Rank	CodeCode Available	1
A Large Scale Search Dataset for Unbiased Learning to Rank	Jul 7, 2022	Causal DiscoveryLanguage Modelling	CodeCode Available	1
TREC CAsT 2019: The Conversational Assistance Track Overview	Mar 30, 2020	Conversational SearchLearning-To-Rank	CodeCode Available	1
Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference	Feb 12, 2022	Entity TypingLearning-To-Rank	CodeCode Available	1
A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-Supervision	Jun 21, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Introducing LETOR 4.0 Datasets	Jun 9, 2013	Learning-To-Rank	CodeCode Available	1
Controlling Fairness and Bias in Dynamic Learning-to-Rank	May 29, 2020	ArticlesFairness	CodeCode Available	1
Learning to Rank in Generative Retrieval	Jun 27, 2023	Learning-To-RankPassage Ranking	CodeCode Available	1
Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation With Minimal Computational Complexity	Apr 22, 2022	Learning-To-Rank	CodeCode Available	1
Enhancing Cross-Sectional Currency Strategies by Context-Aware Learning to Rank with Self-Attention	May 20, 2021	Information RetrievalLearning-To-Rank	CodeCode Available	1
Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks	Nov 11, 2018	Learning-To-Rank	CodeCode Available	1
LiPO: Listwise Preference Optimization through Learning-to-Rank	Feb 2, 2024	Learning-To-Rank	CodeCode Available	1
Dual-Branch Network for Portrait Image Quality Assessment	May 14, 2024	Face Image Quality AssessmentImage Quality Assessment	CodeCode Available	1
RankCSE: Unsupervised Representation Learning via Learning to Rank	Nov 14, 2022	Contrastive LearningLearning-To-Rank	CodeCode Available	1
GLEN: Generative Retrieval via Lexical Index Learning	Nov 6, 2023	Learning-To-RankRetrieval	CodeCode Available	1
A scale invariant ranking function for learning-to-rank: a real-world use case	Oct 21, 2021	Learning-To-RankRecommendation Systems	—Unverified	0
ARSM Gradient Estimator for Supervised Learning to Rank	Nov 1, 2019	Learning-To-Rank	—Unverified	0
A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization	Dec 4, 2023	Learning-To-RankStochastic Optimization	—Unverified	0
A Representation Theory for Ranking Functions	Dec 1, 2014	Learning-To-RankReranking	—Unverified	0
Are Neural Ranking Models Robust?	Aug 11, 2021	Information RetrievalLearning-To-Rank	—Unverified	0
A Deep Investigation of Deep IR Models	Jul 24, 2017	Information RetrievalLearning-To-Rank	—Unverified	0
Neural IR Meets Graph Embedding: A Ranking Model for Product Search	Jan 24, 2019	Graph EmbeddingInformation Retrieval	—Unverified	0

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