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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 401–425 of 753 papers

TitleStatusHype
Learning to Rank when Grades Matter—0
Learning-to-Rank with BERT in TF-Ranking—0
Extended Missing Data Imputation via GANs for Ranking Applications—0
Learning-to-Rank with Nested Feedback—0
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model—0
Learning to Rank with Small Set of Ground Truth Data—0
Towards Constructing Sports News from Live Text Commentary—0
Learning to Re-rank with Constrained Meta-Optimal Transport—0
Learning to Select: Problem, Solution, and Applications—0
Learning to Temporally Order Medical Events in Clinical Text—0
Learning to Weight Translations using Ordinal Linear Regression and Query-generated Training Data for Ad-hoc Retrieval with Long Queries—0
Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval—0
Learning Visual Features from Snapshots for Web Search—0
Learning what matters - Sampling interesting patterns—0
Answering questions by learning to rank -- Learning to rank by answering questions—0
An IPW-based Unbiased Ranking Metric in Two-sided Markets—0
Leveraging semantically similar queries for ranking via combining representations—0
Towards Deep and Representation Learning for Talent Search at LinkedIn—0
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank—0
Leveraging User Behavior History for Personalized Email Search—0
An Exploratory Study on Simulated Annealing for Feature Selection in Learning-to-Rank—0
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs—0
A new perspective on classification: optimally allocating limited resources to uncertain tasks—0
Towards Explainable Test Case Prioritisation with Learning-to-Rank Models—0
ListBERT: Learning to Rank E-commerce products with Listwise BERT—0
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